parser v0

vna_system/core/acquisition/data_acquisition.py

@@ -1,5 +1,6 @@
 import io
 import json
+import math
 import os
 import struct
 import threading
@@ -192,6 +193,67 @@ class VNADataAcquisition:
     # --------------------------------------------------------------------- #
     # Acquisition loop
     # --------------------------------------------------------------------- #
+    def _radar_pipe_acquisition_loop(self) -> None:
+        """Acquisition loop for reading radar data from named pipe."""
+        logger.info("Starting radar pipe acquisition loop", pipe_path=cfg.RADAR_PIPE_PATH)
+
+        while self._running and not self._stop_event.is_set():
+            try:
+                # Honor pause
+                if self._paused:
+                    time.sleep(0.1)
+                    continue
+
+                # Open named pipe for reading
+                pipe_path = Path(cfg.RADAR_PIPE_PATH)
+
+                # Check if pipe exists
+                if not pipe_path.exists():
+                    logger.warning("Radar pipe not found, waiting...", path=str(pipe_path))
+                    time.sleep(1.0)
+                    continue
+
+                # Open pipe in non-blocking mode to avoid hanging
+                with open(pipe_path, "rb") as pipe:
+                    # Read data from pipe (adjust buffer size as needed)
+                    data = pipe.read(cfg.EXPECTED_POINTS_PER_SWEEP * cfg.RADAR_BYTES_PER_SAMPLE)
+
+                    if not data:
+                        time.sleep(0.01)
+                        continue
+
+                    # Parse radar data
+                    points = self._parse_radar_data(data)
+
+                    if points:
+                        timestamp = time.time()
+                        sweep_number = self._sweep_buffer.add_sweep(points, timestamp=timestamp)
+                        logger.info(
+                            "Radar sweep collected from pipe",
+                            sweep_number=sweep_number,
+                            points=len(points),
+                            timestamp=timestamp
+                        )
+
+                        # # Play sweep notification sound
+                        # self._sound_player.play()
+
+                        # Handle single-sweep mode transitions
+                        if not self._continuous_mode:
+                            if self._single_sweep_requested:
+                                self._single_sweep_requested = False
+                                logger.info("Single radar sweep completed; pausing acquisition")
+                                self.pause()
+                            else:
+                                self.pause()
+
+            except FileNotFoundError:
+                logger.warning("Radar pipe not found, retrying...", pipe_path=cfg.RADAR_PIPE_PATH)
+                time.sleep(1.0)
+            except Exception as exc:  # noqa: BLE001
+                logger.error("Radar pipe acquisition loop error", error=repr(exc))
+                time.sleep(1.0)
+
     def _simulator_acquisition_loop(self) -> None:
         """Simplified acquisition loop for simulator mode."""
         logger.info("Starting simulator acquisition loop")
@@ -236,6 +298,11 @@ class VNADataAcquisition:
 
     def _acquisition_loop(self) -> None:
         """Main acquisition loop executed by the background thread."""
+        # Use radar pipe loop if enabled
+        if cfg.USE_RADAR_PIPE:
+            self._radar_pipe_acquisition_loop()
+            return
+
         # Use simulator loop if simulator is enabled
         if self._simulator is not None:
             self._simulator_acquisition_loop()
@@ -468,6 +535,74 @@ class VNADataAcquisition:
     # --------------------------------------------------------------------- #
     # Parsing & detection
     # --------------------------------------------------------------------- #
+
+    def _parse_radar_data(self, data: bytes) -> list[tuple[float, float]]:
+        """
+        Parse radar data from named pipe format.
+
+        Expected format: 4 bytes per 32-bit word (big-endian)
+        - Word format: 0xF0XXXXXX where:
+          - F0 is the marker byte (bits 31-24)
+          - XXXXXX is the 24-bit data value (bits 23-0)
+
+        Returns list of (real, imag) tuples where:
+        - real: dB value converted from raw data
+        - imag: always 0.0
+        """
+        points: list[tuple[float, float]] = []
+
+        # Process data in 4-byte chunks as 32-bit words (big-endian)
+        num_words = len(data) // cfg.RADAR_BYTES_PER_SAMPLE
+
+        for i in range(num_words):
+                
+            offset = i * cfg.RADAR_BYTES_PER_SAMPLE
+            chunk = data[offset : offset + cfg.RADAR_BYTES_PER_SAMPLE]
+
+            # Unpack as big-endian 32-bit unsigned integer
+            word = struct.unpack("<I", chunk)[0]
+
+            # Extract marker (top 8 bits)
+            marker = (word >> 24) & 0xFF
+
+            # Extract 24-bit data value (lower 24 bits)
+            raw_value = word & 0xFFFFFF
+
+            # Check marker byte - log warning but continue processing
+            if marker != cfg.RADAR_DATA_MARKER:
+                # Only log occasionally to avoid spam
+                if i % 100 == 0:
+                    logger.debug(
+                        "Non-F0 marker detected",
+                        marker=hex(marker),
+                        word=hex(word),
+                        offset=offset
+                    )
+                # Still process the data if it has valid bits
+
+            # Convert unsigned 24-bit to signed 24-bit (as in main.py to_int24)
+            # If MSB is set, treat as negative (two's complement)
+            if raw_value & 0x800000:
+                raw_value -= 0x1000000  # Convert to signed: -8388608 to +8388607
+
+            points.append((float(raw_value), 0.))
+            if i == 0 or i == 100:
+                logger.debug(f"raw_value: {raw_value}, marker: {marker},  word= {word}" )
+
+        # Log statistics about parsed data
+        if points:
+            values = [p[0] for p in points]
+            logger.info(
+                "📊 Radar data parsed from pipe",
+                total_points=len(points),
+                min_value=min(values),
+                max_value=max(values),
+                mean_value=sum(values) / len(values) if values else 0,
+                non_zero=sum(1 for v in values if v != 0)
+            )
+
+        return points
+
     def _parse_measurement_data(self, payload: bytes) -> list[tuple[float, float]]:
         """Parse complex measurement samples (float32 pairs) from a payload."""
         if len(payload) <= cfg.MEAS_HEADER_LEN:

vna_system/core/config.py

@@ -35,10 +35,18 @@ VNA_PID = 0x5740  # STM32 Virtual ComPort
 # -----------------------------------------------------------------------------
 # Simulator mode settings
 # -----------------------------------------------------------------------------
-USE_SIMULATOR = True  # Set to True to use simulator instead of real device
+USE_SIMULATOR = False  # Set to True to use simulator instead of real device
 SIMULATOR_SWEEP_FILE = BASE_DIR / "binary_input" / "sweep_example" / "example.json"
 SIMULATOR_NOISE_LEVEL = 100  # Standard deviation of Gaussian noise to add to real and imaginary parts
 
+# -----------------------------------------------------------------------------
+# Radar pipe mode settings
+# -----------------------------------------------------------------------------
+USE_RADAR_PIPE = True  # Set to True to read radar data from named pipe
+RADAR_PIPE_PATH = "/tmp/radar_data_pipe"  # Path to the named pipe
+RADAR_DATA_MARKER = 0xF0  # First byte marker for radar data packets
+RADAR_BYTES_PER_SAMPLE = 4  # Total bytes per radar sample (1 marker + 3 data)
+
 # -----------------------------------------------------------------------------
 # Sweep detection and parsing constants
 # -----------------------------------------------------------------------------
@@ -46,7 +54,7 @@ SWEEP_CMD_LEN = 515
 SWEEP_CMD_PREFIX = bytes([0xAA, 0x00, 0xDA])
 MEAS_HEADER_LEN = 21
 MEAS_CMDS_PER_SWEEP = 17
-EXPECTED_POINTS_PER_SWEEP = 1000
+EXPECTED_POINTS_PER_SWEEP = 1024
 
 # -----------------------------------------------------------------------------
 # Buffer settings

vna_system/core/laser/laser_controller.py

@@ -1,11 +1,13 @@
 import logging
 import time
+import json
+from pathlib import Path
 from typing import Optional, Dict, Any
 from datetime import datetime
 
 from ...api.models.laser import LaserParameters, LaserStatus
-from .RadioPhotonic_PCB_PC_software import device_interaction as dev
-from .RadioPhotonic_PCB_PC_software import device_commands as cmd
+from .RFG_PCB_PC_controller_supersimple import device_interaction as dev
+from .RFG_PCB_PC_controller_supersimple import device_commands as cmd
 
 logger = logging.getLogger(__name__)
 
@@ -14,11 +16,19 @@ class LaserController:
     """
     Controller for laser control system.
 
+    Uses RFG_PCB_PC_controller_supersimple module for device communication.
     Communicates with RadioPhotonic board via serial port (115200 baud).
     Supports both manual control and automated scanning modes.
+
+    Control Logic (RFG implementation):
+    - Manual mode: send_control_parameters() to set steady current/temperature
+    - Scan mode: send_control_parameters() THEN send_task_command() for scanning
+    - Stop: send_control_parameters() to return to steady state (not reset)
+
+    TaskType format: String-based ("TT_CHANGE_CURR_1", "TT_CHANGE_CURR_2")
     """
 
-    def __init__(self):
+    def __init__(self, config_path: Optional[str] = None):
         self.prt = None  # Serial port object
         self.is_connected = False
         self.is_running = False
@@ -26,14 +36,78 @@ class LaserController:
         self.current_status = LaserStatus()
         self.last_data: Optional[Dict[str, Any]] = None
 
-        # Default PI coefficients (multiplied by 256 as per device protocol)
+        # Load default parameters from JSON
+        self._load_default_parameters(config_path)
+
+        logger.info("LaserController initialized")
+
+    def _load_default_parameters(self, config_path: Optional[str] = None) -> None:
+        """
+        Load default parameters from JSON configuration file.
+
+        Args:
+            config_path: Path to JSON config file. If None, uses default location.
+        """
+        try:
+            # Determine config file path
+            if config_path is None:
+                # Default path relative to this file
+                current_dir = Path(__file__).parent
+                config_path = current_dir / "RadioPhotonic_PCB_PC_software" / "init_params.json"
+            else:
+                config_path = Path(config_path)
+
+            # Load JSON file
+            if not config_path.exists():
+                logger.warning(f"Config file not found: {config_path}, using hardcoded defaults")
+                self._set_hardcoded_defaults()
+                return
+
+            with open(config_path, 'r') as f:
+                config = json.load(f)
+
+            # Set parameters from config
+            self.initial_temperature_1 = config.get("INITIAL_TEMPERATURE_1", 28)
+            self.initial_temperature_2 = config.get("INITIAL_TEMPERATURE_2", 28.9)
+            self.initial_current_1 = config.get("INITIAL_CURRENT_1", 33)
+            self.initial_current_2 = config.get("INITIAL_CURRENT_2", 35)
+
+            # PI coefficients (multiplied by 256 as per device protocol)
+            self.proportional_coeff_1 = int(config.get("PROPORTIONAL_COEFF_1", 10) * 256)
+            self.proportional_coeff_2 = int(config.get("PROPORTIONAL_COEFF_2", 10) * 256)
+            self.integral_coeff_1 = int(config.get("INTEGRAL_COEFF_1", 0.5) * 256)
+            self.integral_coeff_2 = int(config.get("INTEGRAL_COEFF_2", 0.5) * 256)
+            self.message_id = config.get("MESSAGE_ID", "00FF")
+
+            # Additional parameters
+            self.gui_timeout_interval = config.get("GUI_TIMEOUT_INTERVAL", 5)
+            self.save_points_number = config.get("SAVE_POINTS_NUMBER", 1000)
+
+            logger.info(f"Default parameters loaded from {config_path}")
+            logger.info(f"  Initial T1: {self.initial_temperature_1}°C, T2: {self.initial_temperature_2}°C")
+            logger.info(f"  Initial I1: {self.initial_current_1} mA, I2: {self.initial_current_2} mA")
+
+        except json.JSONDecodeError as e:
+            logger.error(f"Invalid JSON in config file: {e}")
+            self._set_hardcoded_defaults()
+        except Exception as e:
+            logger.error(f"Error loading config file: {e}")
+            self._set_hardcoded_defaults()
+
+    def _set_hardcoded_defaults(self) -> None:
+        """Set hardcoded default parameters as fallback."""
+        self.initial_temperature_1 = 28
+        self.initial_temperature_2 = 28.9
+        self.initial_current_1 = 33
+        self.initial_current_2 = 35
         self.proportional_coeff_1 = int(10 * 256)
         self.proportional_coeff_2 = int(10 * 256)
         self.integral_coeff_1 = int(0.5 * 256)
         self.integral_coeff_2 = int(0.5 * 256)
         self.message_id = "00FF"
-
-        logger.info("LaserController initialized")
+        self.gui_timeout_interval = 5
+        self.save_points_number = 1000
+        logger.info("Using hardcoded default parameters")
 
     def start_cycle(self, parameters: LaserParameters) -> Dict[str, Any]:
         """
@@ -96,11 +170,11 @@ class LaserController:
     def _start_manual_mode(self, parameters: LaserParameters) -> Dict[str, Any]:
         """
         Start manual control mode with fixed T1, T2, I1, I2 values.
-        Uses DECODE_ENABLE (0x1111) command.
+        Uses DECODE_ENABLE (0x1111) command - simplified version from RFG example.
         """
         try:
-            # Prepare control parameters
-            params = {
+            # Prepare control parameters (simplified - direct send)
+            ctrl_params = {
                 'Temp_1': parameters.min_temp_1,
                 'Temp_2': parameters.min_temp_2,
                 'Iset_1': parameters.min_current_1,
@@ -113,12 +187,12 @@ class LaserController:
             }
 
             logger.info(f"Sending manual control parameters:")
-            logger.info(f"  T1: {params['Temp_1']}°C, T2: {params['Temp_2']}°C")
-            logger.info(f"  I1: {params['Iset_1']} mA, I2: {params['Iset_2']} mA")
-
-            # Send control parameters to device
-            dev.send_control_parameters(self.prt, params)
+            logger.info(f"  T1: {ctrl_params['Temp_1']}°C, T2: {ctrl_params['Temp_2']}°C")
+            logger.info(f"  I1: {ctrl_params['Iset_1']} mA, I2: {ctrl_params['Iset_2']} mA")
 
+            # Send control parameters to device (steady current mode)
+            dev.send_control_parameters(self.prt, ctrl_params)
+            logger.info(dev.request_data(self.prt))
             return {
                 "success": True,
                 "message": "Ручное управление запущено",
@@ -131,13 +205,14 @@ class LaserController:
 
     def _start_scan_mode(self, parameters: LaserParameters) -> Dict[str, Any]:
         """
-        Start automated scan mode.
-        Uses TASK_ENABLE (0x7777) command with TaskType.
+        Start automated scan mode - simplified version from RFG example.
+        RFG flow: send_control_parameters() THEN send_task_command()
+        This initializes the device before starting the scan.
         """
         try:
-            # First, send initial control parameters to set the device to starting values
-            logger.info("Setting initial control parameters before scan...")
-            initial_params = {
+            # Step 1: Start lasers with initial control parameters (from RFG example lines 72-75)
+            logger.info("Step 1: Starting lasers with control parameters...")
+            ctrl_params = {
                 'Temp_1': parameters.min_temp_1,
                 'Temp_2': parameters.min_temp_2,
                 'Iset_1': parameters.min_current_1,
@@ -149,24 +224,20 @@ class LaserController:
                 'Message_ID': self.message_id
             }
 
-            logger.info(f"Initial parameters: T1={initial_params['Temp_1']}°C, T2={initial_params['Temp_2']}°C, "
-                       f"I1={initial_params['Iset_1']} mA, I2={initial_params['Iset_2']} mA")
+            dev.send_control_parameters(self.prt, ctrl_params)
+            logger.info(dev.request_data(self.prt))
+            logger.info("Control parameters sent - lasers started")
 
-            # Send initial control parameters
-            dev.send_control_parameters(self.prt, initial_params)
-            logger.info("Initial control parameters sent successfully")
+            # Small delay as in RFG example (line 75: sleep(2))
+            time.sleep(2)
 
-            # Small delay to allow device to process
-            import time
-            time.sleep(0.2)
-
-            # Determine which parameter to scan
+            # Step 2: Determine which parameter to scan
             if parameters.enable_c1:
-                task_type = cmd.TaskType.ChangeCurrentLD1.value
+                task_type = "TT_CHANGE_CURR_1"  # RFG uses string format
                 scan_param = "Current Laser 1"
                 logger.info(f"Scanning Current Laser 1: {parameters.min_current_1} to {parameters.max_current_1} mA")
             elif parameters.enable_c2:
-                task_type = cmd.TaskType.ChangeCurrentLD2.value
+                task_type = "TT_CHANGE_CURR_2"  # RFG uses string format
                 scan_param = "Current Laser 2"
                 logger.info(f"Scanning Current Laser 2: {parameters.min_current_2} to {parameters.max_current_2} mA")
             elif parameters.enable_t1:
@@ -188,10 +259,11 @@ class LaserController:
                     "parameters": None
                 }
 
-            # Build task parameters based on task type
-            sending_param = {
+            # Step 3: Build task parameters for scan (from RFG example lines 78-82)
+            logger.info("Step 2: Switching to current sweep mode...")
+            task_params = {
                 'TaskType': task_type,
-                'Dt': parameters.delta_time / 1000.0,  # Convert μs to ms
+                'Dt': parameters.delta_time ,  
                 'Tau': parameters.tau,
                 'ProportionalCoeff_1': self.proportional_coeff_1,
                 'ProportionalCoeff_2': self.proportional_coeff_2,
@@ -200,8 +272,8 @@ class LaserController:
             }
 
             # Add scan-specific parameters
-            if task_type == cmd.TaskType.ChangeCurrentLD1.value:
-                sending_param.update({
+            if task_type == "TT_CHANGE_CURR_1":
+                task_params.update({
                     'MinC1': parameters.min_current_1,
                     'MaxC1': parameters.max_current_1,
                     'DeltaC1': parameters.delta_current_1,
@@ -209,8 +281,8 @@ class LaserController:
                     'I2': parameters.min_current_2,  # Fixed
                     'T2': parameters.min_temp_2  # Fixed
                 })
-            elif task_type == cmd.TaskType.ChangeCurrentLD2.value:
-                sending_param.update({
+            elif task_type == "TT_CHANGE_CURR_2":
+                task_params.update({
                     'MinC2': parameters.min_current_2,
                     'MaxC2': parameters.max_current_2,
                     'DeltaC2': parameters.delta_current_2,
@@ -219,8 +291,10 @@ class LaserController:
                     'T1': parameters.min_temp_1  # Fixed
                 })
 
-            # Send task command to device
-            dev.send_task_command(self.prt, sending_param)
+            # Send task command to device (start current variation)
+            dev.send_task_command(self.prt, task_params)
+            # print(dev.request_data(self.prt))
+            logger.info("Task command sent successfully - scan started")
 
             return {
                 "success": True,
@@ -235,7 +309,8 @@ class LaserController:
     def stop_cycle(self) -> Dict[str, Any]:
         """
         Stop current laser control cycle.
-        Sends reset command to device.
+        Uses send_control_parameters to return to steady current mode (RFG example logic).
+        This stops any ongoing scan and maintains the last known parameters.
 
         Returns:
             Dictionary with success status and message
@@ -247,20 +322,40 @@ class LaserController:
             logger.info("=" * 60)
 
             if self.is_connected and self.prt is not None:
-                # Send reset command to device
-                try:
-                    dev.reset_port_settings(self.prt)
-                    logger.info("Device reset command sent")
-                except Exception as e:
-                    logger.warning(f"Failed to send reset command: {e}")
+                # Stop current variation - go to steady current mode
+                # Use last known parameters or defaults
+                if self.current_parameters:
+                    ctrl_params = {
+                        'Temp_1': self.current_parameters.min_temp_1,
+                        'Temp_2': self.current_parameters.min_temp_2,
+                        'Iset_1': self.current_parameters.min_current_1,
+                        'Iset_2': self.current_parameters.min_current_2,
+                        'ProportionalCoeff_1': self.proportional_coeff_1,
+                        'ProportionalCoeff_2': self.proportional_coeff_2,
+                        'IntegralCoeff_1': self.integral_coeff_1,
+                        'IntegralCoeff_2': self.integral_coeff_2,
+                        'Message_ID': self.message_id
+                    }
+
+                    logger.info(f"Stopping scan - returning to steady current mode:")
+                    logger.info(f"  T1: {ctrl_params['Temp_1']}°C, T2: {ctrl_params['Temp_2']}°C")
+                    logger.info(f"  I1: {ctrl_params['Iset_1']} mA, I2: {ctrl_params['Iset_2']} mA")
+
+                    try:
+                        dev.send_control_parameters(self.prt, ctrl_params)
+                        logger.info(dev.request_data(self.prt))
+                        logger.info("Control parameters sent - laser in steady state")
+                    except Exception as e:
+                        logger.warning(f"Failed to send control parameters: {e}")
+                else:
+                    logger.warning("No current parameters stored, cannot send steady state command")
 
             self.is_running = False
             self.current_status.is_running = False
-            self.current_parameters = None
 
             return {
                 "success": True,
-                "message": "Цикл управления лазером остановлен"
+                "message": "Цикл управления лазером остановлен (steady current mode)"
             }
 
         except Exception as e:
@@ -480,15 +575,17 @@ class LaserController:
             if self.is_running:
                 self.stop_cycle()
 
-            # Close serial port
+            # Close serial port using RFG close_connection
             if self.prt is not None:
                 try:
-                    cmd.close_port(self.prt)
+                    dev.close_connection(self.prt)
                     logger.info("Serial port closed")
                 except Exception as e:
                     logger.warning(f"Error closing serial port: {e}")
-
-                self.prt = None
+                    # Fallback: just set to None
+                    self.prt = None
+                else:
+                    self.prt = None
 
             self.is_connected = False
             self.current_status.connected = False

vna_system/core/processors/configs/magnitude_config.json

@@ -1,7 +1,7 @@
 {
-  "y_min": -50,
+  "y_min": -80,
   "y_max": 40,
-  "autoscale": true,
+  "autoscale": false,
   "show_magnitude": true,
   "show_phase": false,
   "open_air": false

vna_system/core/processors/configs/rfg_radar_config.json

@@ -0,0 +1,19 @@
+{
+  "data_type": "SYNC_DET",
+  "pont_in_one_fq_change": 86,
+  "gaussian_sigma": 5.0,
+  "fft0_delta": 5,
+  "standard_raw_size": 64000,
+  "standard_sync_size": 1000,
+  "freq_start_ghz": 3.0,
+  "freq_stop_ghz": 13.67,
+  "fq_end": 512,
+  "show_processed": true,
+  "show_fourier": true,
+  "normalize_signal": false,
+  "log_scale": false,
+  "disable_interpolation": false,
+  "y_max_processed": 900000.0,
+  "y_max_fourier": 1000.0,
+  "auto_scale": false
+}

vna_system/core/processors/implementations/RFG_PROCESSOR_README.md

@@ -0,0 +1,197 @@
+# RFG Processor - Радиофотонный радар
+
+## Описание
+
+RFGProcessor - новый процессор для обработки данных радиофотонного радара, основанный на алгоритмах из `RFG_Receiver_GUI/main.py`.
+
+## Основные возможности
+
+### Типы данных
+- **SYNC_DET (0xF0)** - Данные синхронного детектирования (~1000 сэмплов)
+- **RAW (0xD0)** - Сырые ADC данные с меандровой модуляцией (~64000 сэмплов)
+
+### Обработка данных
+
+#### Для SYNC_DET (по умолчанию):
+1. Интерполяция до 1000 точек
+2. Прямая FFT обработка (данные уже демодулированы)
+3. Гауссово сглаживание
+4. Обнуление центра FFT
+
+#### Для RAW:
+1. Интерполяция до 64000 точек
+2. Генерация меандрового сигнала
+3. Синхронное детектирование (умножение на меандр)
+4. Частотная сегментация (по 86 точек)
+5. FFT обработка с гауссовым сглаживанием
+6. Обнуление центра FFT
+
+### Выходные графики
+
+1. **Processed Signal** - Обработанный сигнал в частотной области (3-13.67 ГГц)
+2. **Fourier Transform** - Спектр FFT с гауссовым сглаживанием
+
+## Конфигурация
+
+### Файл: `configs/rfg_config.json`
+
+```json
+{
+  "data_type": "SYNC_DET",         // Тип данных: "RAW" или "SYNC_DET"
+  "pont_in_one_fq_change": 86,     // Размер сегмента частоты
+  "gaussian_sigma": 5.0,           // Параметр сглаживания (σ)
+  "fft0_delta": 5,                 // Смещение обнуления центра FFT
+  "standard_raw_size": 64000,      // Целевой размер для RAW
+  "standard_sync_size": 1000,      // Целевой размер для SYNC_DET
+  "freq_start_ghz": 3.0,           // Начало частотного диапазона
+  "freq_stop_ghz": 13.67,          // Конец частотного диапазона
+  "fq_end": 512,                   // Точка отсечки FFT
+  "show_processed": true,          // Показать Processed Signal
+  "show_fourier": true             // Показать Fourier Transform
+}
+```
+
+### UI параметры
+
+Процессор предоставляет следующие настройки через веб-интерфейс:
+
+- **Тип данных** - Выбор между RAW и SYNC_DET
+- **Гауссово сглаживание (σ)** - Слайдер 0.1-20.0
+- **Размер сегмента частоты** - Слайдер 50-200
+- **Смещение центра FFT** - Слайдер 0-20
+- **Точка отсечки FFT** - Слайдер 100-1000
+- **Частота начала (ГГц)** - Слайдер 1.0-15.0
+- **Частота конца (ГГц)** - Слайдер 1.0-15.0
+- **Переключатели** - Показать/скрыть графики
+
+## Использование
+
+### Автоматическая регистрация
+
+Процессор автоматически регистрируется в `ProcessorManager` при запуске системы.
+
+### Входные данные
+
+Процессор ожидает данные из pipe в формате `SweepData`:
+- `points`: список пар `[(real, imag), ...]`
+- Для ADC данных используется только `real` часть
+- Данные должны соответствовать формату 0xF0 (SYNC_DET) или 0xD0 (RAW)
+
+### Пример структуры данных
+
+```python
+sweep_data = SweepData(
+    sweep_number=1,
+    timestamp=1234567890.0,
+    points=[(adc_sample_1, 0), (adc_sample_2, 0), ...],
+    total_points=1000  # или 64000 для RAW
+)
+```
+
+## Алгоритмы обработки
+
+### 1. Интерполяция данных
+```python
+# Линейная интерполяция scipy.interpolate.interp1d
+old_indices = np.linspace(0, 1, len(data))
+new_indices = np.linspace(0, 1, target_size)
+```
+
+### 2. Меандровая демодуляция (только RAW)
+```python
+# Генерация квадратного сигнала
+time_idx = np.arange(1, size + 1)
+meander = square(time_idx * np.pi)
+demodulated = data * meander
+```
+
+### 3. Частотная сегментация (только RAW)
+```python
+# Разделение на сегменты и суммирование
+segment_size = 86
+for segment in segments:
+    signal.append(np.sum(segment))
+```
+
+### 4. FFT обработка
+```python
+# Обрезка + FFT + сдвиг
+sig_cut = np.sqrt(np.abs(signal[:512]))
+F = np.fft.fft(sig_cut)
+Fshift = np.abs(np.fft.fftshift(F))
+
+# Обнуление центра
+center = len(sig_cut) // 2
+Fshift[center:center+1] = 0
+
+# Гауссово сглаживание
+FshiftS = gaussian_filter1d(Fshift, sigma=5.0)
+```
+
+## Отличия от оригинального main.py
+
+### Изменено:
+1. **Вход данных**: Вместо CSV файлов - pipe через `SweepData`
+2. **Без накопления**: Обработка каждой развёртки отдельно (убран `PeriodIntegrate=2`)
+3. **Без B-scan**: Только Processed Signal + Fourier Transform
+4. **Plotly вместо Matplotlib**: Веб-визуализация
+5. **JSON конфигурация**: Вместо хардкода констант
+6. **Один sweep**: Нет потокового чтения файлов
+
+### Сохранено:
+- ✅ Алгоритмы обработки (интерполяция, меандр, сегментация, FFT)
+- ✅ Гауссово сглаживание
+- ✅ Обнуление центра FFT
+- ✅ Частотный диапазон 3-13.67 ГГц
+- ✅ Параметры обработки (sigma=5, segment=86, delta=5)
+
+## Файлы
+
+```
+vna_system/core/processors/
+├── implementations/
+│   ├── rfg_processor.py          # Основной класс
+│   └── RFG_PROCESSOR_README.md   # Эта документация
+├── configs/
+│   └── rfg_config.json           # Конфигурация по умолчанию
+└── manager.py                    # Регистрация процессора
+```
+
+## Разработка и отладка
+
+### Логирование
+Процессор использует стандартную систему логирования:
+```python
+from vna_system.core.logging.logger import get_component_logger
+logger = get_component_logger(__file__)
+```
+
+### Тестирование
+Для тестирования создайте `SweepData` с тестовыми ADC данными:
+```python
+# Тест SYNC_DET (1000 точек)
+test_data = [(float(i), 0.0) for i in range(1000)]
+
+# Тест RAW (64000 точек)
+test_data = [(float(i), 0.0) for i in range(64000)]
+```
+
+## Зависимости
+
+- `numpy` - Численные операции
+- `scipy.signal.square` - Генерация меандра
+- `scipy.ndimage.gaussian_filter1d` - Гауссово сглаживание
+- `scipy.interpolate.interp1d` - Интерполяция
+- `plotly` - Визуализация
+
+## Авторство
+
+Создан на основе алгоритмов из `/home/awe/Documents/RFG_Receiver_GUI/main.py`
+Адаптирован для VNA System architecture.
+
+## Версия
+
+v1.0 - Первая реализация (2025-11-28)
+- Поддержка SYNC_DET и RAW форматов
+- Два графика: Processed Signal + Fourier Transform
+- Полная интеграция с VNA System

vna_system/core/processors/implementations/magnitude_processor.py

@@ -94,7 +94,7 @@ class MagnitudeProcessor(BaseProcessor):
             real_points.append(float(real))
             imag_points.append(float(imag))
             mag = abs(complex_val)
-            mags_db.append(20.0 * np.log10(mag) if mag > 0.0 else -120.0)
+            mags_db.append( 20*np.log10(mag) if mag > 0.0 else -120.0)
             phases_deg.append(np.degrees(np.angle(complex_val)))
 
         result = {

vna_system/core/processors/implementations/rfg_processor.py

@@ -0,0 +1,643 @@
+from __future__ import annotations
+
+from datetime import datetime
+from pathlib import Path
+from typing import Any
+
+import numpy as np
+from numpy.typing import NDArray
+from scipy.signal import square
+from scipy.ndimage import gaussian_filter1d
+from scipy.interpolate import interp1d
+
+from vna_system.core.logging.logger import get_component_logger
+from vna_system.core.processors.base_processor import BaseProcessor, UIParameter, ProcessedResult
+from vna_system.core.acquisition.sweep_buffer import SweepData
+
+logger = get_component_logger(__file__)
+
+
+class RFGProcessor(BaseProcessor):
+    """
+    Radiophotonic radar processor based on RFG_Receiver_GUI algorithm.
+
+    Processes ADC data with synchronous detection (0xF0 format) or RAW data (0xD0 format).
+    Outputs two graphs:
+    - Processed Signal: Frequency domain signal (3-13.67 GHz range)
+    - Fourier Transform: FFT magnitude spectrum with Gaussian smoothing
+
+    Features
+    --------
+    - Data interpolation to standard size
+    - Meander demodulation (for RAW data)
+    - Frequency segmentation
+    - FFT processing with Gaussian smoothing
+    - Center zeroing for artifact reduction
+    """
+
+    def __init__(self, config_dir: Path) -> None:
+        super().__init__("rfg_radar", config_dir)
+
+        # No history accumulation needed (process single sweeps)
+        self._max_history = 1
+
+        # Pre-computed meander signal (will be initialized on first use)
+        self._meandr: NDArray[np.floating] | None = None
+        self._last_size: int = 0
+
+        logger.info("RFGProcessor initialized", processor_id=self.processor_id)
+
+    # -------------------------------------------------------------------------
+    # Configuration
+    # -------------------------------------------------------------------------
+
+    def _get_default_config(self) -> dict[str, Any]:
+        """Return default configuration values."""
+        return {
+            "data_type": "SYNC_DET",           # "RAW" or "SYNC_DET"
+            "pont_in_one_fq_change": 86,       # Frequency segment size
+            "gaussian_sigma": 5.0,             # FFT smoothing sigma
+            "fft0_delta": 5,                   # Center zero offset
+            "standard_raw_size": 64000,        # Target size for RAW data
+            "standard_sync_size": 1000,        # Target size for SYNC_DET data
+            "freq_start_ghz": 3.0,             # Display frequency start (GHz)
+            "freq_stop_ghz": 13.67,            # Display frequency stop (GHz)
+            "fq_end": 512,                     # FFT cutoff point
+            "show_processed": True,            # Show processed signal graph
+            "show_fourier": True,              # Show Fourier transform graph
+            "normalize_signal": False,         # Normalize processed signal to [0, 1]
+            "log_scale": False,                # Use logarithmic scale for signal
+            "disable_interpolation": False,    # Skip interpolation (use raw data size)
+            "y_max_processed": 900000.0,        # Max Y-axis value for processed signal
+            "y_max_fourier": 1000.0,           # Max Y-axis value for Fourier spectrum
+            "auto_scale": False,               # Auto-scale Y-axis (ignore y_max if True)
+        }
+
+    def get_ui_parameters(self) -> list[UIParameter]:
+        """Return UI parameter schema for configuration."""
+        cfg = self._config
+
+        return [
+            UIParameter(
+                name="data_type",
+                label="Тип данных",
+                type="select",
+                value=cfg["data_type"],
+                options={"choices": ["RAW", "SYNC_DET"]},
+            ),
+            UIParameter(
+                name="gaussian_sigma",
+                label="Гауссово сглаживание (σ)",
+                type="slider",
+                value=cfg["gaussian_sigma"],
+                options={"min": 0.1, "max": 20.0, "step": 0.1, "dtype": "float"},
+            ),
+            UIParameter(
+                name="pont_in_one_fq_change",
+                label="Размер сегмента частоты",
+                type="slider",
+                value=cfg["pont_in_one_fq_change"],
+                options={"min": 50, "max": 200, "step": 1, "dtype": "int"},
+            ),
+            UIParameter(
+                name="fft0_delta",
+                label="Смещение центра FFT",
+                type="slider",
+                value=cfg["fft0_delta"],
+                options={"min": 0, "max": 20, "step": 1, "dtype": "int"},
+            ),
+            UIParameter(
+                name="fq_end",
+                label="Точка отсечки FFT",
+                type="slider",
+                value=cfg["fq_end"],
+                options={"min": 100, "max": 1000, "step": 10, "dtype": "int"},
+            ),
+            UIParameter(
+                name="freq_start_ghz",
+                label="Частота начала (ГГц)",
+                type="slider",
+                value=cfg["freq_start_ghz"],
+                options={"min": 1.0, "max": 15.0, "step": 0.1, "dtype": "float"},
+            ),
+            UIParameter(
+                name="freq_stop_ghz",
+                label="Частота конца (ГГц)",
+                type="slider",
+                value=cfg["freq_stop_ghz"],
+                options={"min": 1.0, "max": 15.0, "step": 0.1, "dtype": "float"},
+            ),
+            UIParameter(
+                name="show_processed",
+                label="Показать обработанный сигнал",
+                type="toggle",
+                value=cfg["show_processed"],
+            ),
+            UIParameter(
+                name="show_fourier",
+                label="Показать Фурье образ",
+                type="toggle",
+                value=cfg["show_fourier"],
+            ),
+            UIParameter(
+                name="normalize_signal",
+                label="Нормализовать сигнал",
+                type="toggle",
+                value=cfg["normalize_signal"],
+            ),
+            UIParameter(
+                name="log_scale",
+                label="Логарифмическая шкала",
+                type="toggle",
+                value=cfg["log_scale"],
+            ),
+            UIParameter(
+                name="disable_interpolation",
+                label="Без интерполяции (как FOURIER)",
+                type="toggle",
+                value=cfg["disable_interpolation"],
+            ),
+            UIParameter(
+                name="auto_scale",
+                label="Автоматический масштаб Y",
+                type="toggle",
+                value=cfg["auto_scale"],
+            ),
+            UIParameter(
+                name="y_max_processed",
+                label="Макс. амплитуда (Processed)",
+                type="slider",
+                value=cfg["y_max_processed"],
+                options={"min": 1000.0, "max": 200000.0, "step": 1000.0, "dtype": "float"},
+            ),
+            UIParameter(
+                name="y_max_fourier",
+                label="Макс. амплитуда (Fourier)",
+                type="slider",
+                value=cfg["y_max_fourier"],
+                options={"min": 1000.0, "max": 200000.0, "step": 1000.0, "dtype": "float"},
+            ),
+        ]
+
+    # -------------------------------------------------------------------------
+    # Processing
+    # -------------------------------------------------------------------------
+
+    def process_sweep(
+        self,
+        sweep_data: SweepData,
+        calibrated_data: SweepData | None,
+        vna_config: dict[str, Any],
+    ) -> dict[str, Any]:
+        """
+        Process a single sweep of ADC data.
+
+        Returns
+        -------
+        dict
+            Keys: processed_signal, fourier_spectrum, freq_axis, data_type, points_processed
+            Or: {"error": "..."} on failure.
+        """
+        try:
+            # Extract raw ADC data from sweep (use real part only)
+            adc_data = self._extract_adc_data(sweep_data)
+            if adc_data is None or adc_data.size == 0:
+                logger.warning("No valid ADC data for RFG processing")
+                return {"error": "No valid ADC data"}
+
+            data_type = self._config["data_type"]
+
+            if data_type == "RAW":
+                # Full processing with meander demodulation
+                processed_signal, fourier_spectrum = self._process_raw_data(adc_data)
+            elif data_type == "SYNC_DET":
+                # Direct FFT processing (data already demodulated)
+                processed_signal, fourier_spectrum = self._process_sync_det_data(adc_data)
+            else:
+                return {"error": f"Unknown data type: {data_type}"}
+
+            # Generate frequency axis for visualization
+            freq_axis = self._generate_frequency_axis(processed_signal)
+            fourier_spectrum /= (2*3.14)
+            return {
+                "processed_signal": processed_signal.tolist(),
+                "fourier_spectrum": fourier_spectrum.tolist(),
+                "freq_axis": freq_axis.tolist(),
+                "data_type": data_type,
+                "points_processed": int(adc_data.size),
+                "original_size": int(adc_data.size),
+            }
+
+        except Exception as exc:  # noqa: BLE001
+            logger.error("RFG processing failed", error=repr(exc))
+            return {"error": str(exc)}
+
+    # -------------------------------------------------------------------------
+    # Visualization
+    # -------------------------------------------------------------------------
+
+    def generate_plotly_config(
+        self,
+        processed_data: dict[str, Any],
+        vna_config: dict[str, Any],  # noqa: ARG002
+    ) -> dict[str, Any]:
+        """
+        Produce Plotly configuration for two subplots: Processed Signal + Fourier Transform.
+        """
+        if "error" in processed_data:
+            return {
+                "data": [],
+                "layout": {
+                    "title": "RFG Радар - Ошибка",
+                    "annotations": [
+                        {
+                            "text": f"Ошибка: {processed_data['error']}",
+                            "x": 0.5,
+                            "y": 0.5,
+                            "xref": "paper",
+                            "yref": "paper",
+                            "showarrow": False,
+                        }
+                    ],
+                    "template": "plotly_dark",
+                },
+            }
+
+        processed_signal = processed_data.get("processed_signal", [])
+        fourier_spectrum = processed_data.get("fourier_spectrum", [])
+        freq_axis = processed_data.get("freq_axis", [])
+
+        # Create subplot configuration
+        traces = []
+
+        if self._config["show_processed"] and processed_signal:
+            # Processed Signal trace - use absolute value as in main.py line 1043
+            import numpy as np
+            processed_signal_abs = np.abs(np.array(processed_signal))
+
+            # Apply normalization if enabled
+            if self._config.get("normalize_signal", False):
+                max_val = np.max(processed_signal_abs)
+                if max_val > 0:
+                    processed_signal_abs = processed_signal_abs / max_val
+
+            # Apply log scale if enabled
+            if self._config.get("log_scale", False):
+                processed_signal_abs = np.log10(processed_signal_abs + 1e-12)  # Add small epsilon to avoid log(0)
+
+            logger.debug(
+                "Processed signal stats",
+                min=float(np.min(processed_signal_abs)),
+                max=float(np.max(processed_signal_abs)),
+                mean=float(np.mean(processed_signal_abs)),
+                size=len(processed_signal_abs)
+            )
+
+            traces.append({
+                "type": "scatter",
+                "mode": "lines",
+                "x": freq_axis,
+                "y": processed_signal_abs.tolist(),
+                "name": "Обработанный сигнал",
+                "line": {"width": 1, "color": "cyan"},
+                "xaxis": "x",
+                "yaxis": "y",
+            })
+
+        if self._config["show_fourier"] and fourier_spectrum:
+            # Fourier Transform trace
+            fft_x = list(range(len(fourier_spectrum)))
+            traces.append({
+                "type": "scatter",
+                "mode": "lines",
+                "x": fft_x,
+                "y": fourier_spectrum,
+                "name": "Фурье образ",
+                "line": {"width": 1, "color": "yellow"},
+                "xaxis": "x2",
+                "yaxis": "y2",
+            })
+
+        # Build layout with two subplots
+        layout = {
+            "title": (
+                f"RFG Радар - {processed_data.get('data_type', 'N/A')} | "
+                f"Точек: {processed_data.get('points_processed', 0)}"
+            ),
+            "grid": {"rows": 2, "columns": 1, "pattern": "independent"},
+            "xaxis": {
+                "title": "Частота (ГГц)",
+                "domain": [0, 1],
+                "anchor": "y",
+            },
+            "yaxis": {
+                "title": "Амплитуда",
+                "domain": [0.55, 1],
+                "anchor": "x",
+            },
+            "xaxis2": {
+                "title": "Индекс",
+                "domain": [0, 1],
+                "anchor": "y2",
+            },
+            "yaxis2": {
+                "title": "Магнитуда FFT",
+                "domain": [0, 0.45],
+                "anchor": "x2",
+            },
+            "template": "plotly_dark",
+            "height": 700,
+            "showlegend": True,
+            "hovermode": "closest",
+        }
+
+        # Apply Y-axis limits if not auto-scaling
+        if not self._config.get("auto_scale", False):
+            y_max_processed = float(self._config.get("y_max_processed", 90000.0))
+            y_max_fourier = float(self._config.get("y_max_fourier", 60000.0))
+
+            layout["yaxis"]["range"] = [0, y_max_processed]
+            layout["yaxis2"]["range"] = [0, y_max_fourier]
+
+            logger.debug(
+                "Y-axis limits applied",
+                processed_max=y_max_processed,
+                fourier_max=y_max_fourier
+            )
+
+        return {"data": traces, "layout": layout}
+
+    # -------------------------------------------------------------------------
+    # Data Processing Helpers
+    # -------------------------------------------------------------------------
+
+    def _extract_adc_data(self, sweep_data: SweepData) -> NDArray[np.floating] | None:
+        """
+        Extract ADC data from SweepData.
+
+        Assumes sweep_data.points contains [(real, imag), ...] pairs.
+        For ADC data, we take only the real part.
+        """
+        try:
+            if not sweep_data.points:
+                return None
+
+            # Extract real part (ADC samples)
+            arr = np.asarray(sweep_data.points, dtype=float)
+
+            logger.info(
+                "🔍 RAW INPUT DATA SHAPE",
+                shape=arr.shape,
+                ndim=arr.ndim,
+                total_points=sweep_data.total_points,
+                dtype=arr.dtype
+            )
+
+            if arr.ndim == 2 and arr.shape[1] >= 1:
+                # Take first column (real part)
+                adc_data = arr[:, 0]
+            elif arr.ndim == 1:
+                # Already 1D array
+                adc_data = arr
+            else:
+                raise ValueError("Unexpected data shape for ADC extraction")
+
+            logger.info(
+                "📊 EXTRACTED ADC DATA",
+                size=adc_data.size,
+                min=float(np.min(adc_data)),
+                max=float(np.max(adc_data)),
+                mean=float(np.mean(adc_data)),
+                non_zero_count=int(np.count_nonzero(adc_data))
+            )
+
+            return adc_data.astype(float, copy=False)
+
+        except Exception as exc:  # noqa: BLE001
+            logger.error("Failed to extract ADC data", error=repr(exc))
+            return None
+
+    def _resize_1d_interpolate(
+        self,
+        data: NDArray[np.floating],
+        target_size: int,
+    ) -> NDArray[np.floating]:
+        """
+        Resize 1D array using linear interpolation.
+
+        Based on main.py resize_1d_interpolate() function.
+        """
+        if len(data) == target_size:
+            return data
+
+        old_indices = np.linspace(0, 1, len(data))
+        new_indices = np.linspace(0, 1, target_size)
+
+        f = interp1d(old_indices, data, kind='linear', fill_value='extrapolate')
+        return f(new_indices)
+
+    def _process_raw_data(
+        self,
+        adc_data: NDArray[np.floating],
+    ) -> tuple[NDArray[np.floating], NDArray[np.floating]]:
+        """
+        Process RAW ADC data (0xD0 format).
+
+        Pipeline (based on main.py lines 824-896):
+        1. Interpolate to standard size (64000)
+        2. Generate meander signal for demodulation
+        3. Synchronous detection (multiply by meander)
+        4. Frequency segmentation
+        5. FFT processing with Gaussian smoothing
+
+        Returns
+        -------
+        tuple
+            (processed_signal, fourier_spectrum)
+        """
+        # Step 1: Resize to standard RAW size
+        target_size = int(self._config["standard_raw_size"])
+        data_resized = self._resize_1d_interpolate(adc_data, target_size)
+
+        # Step 2: Generate meander signal (square wave)
+        if self._meandr is None or self._last_size != target_size:
+            time_idx = np.arange(1, target_size + 1)
+            self._meandr = square(time_idx * np.pi)
+            self._last_size = target_size
+            logger.debug("Meander signal regenerated", size=target_size)
+
+        # Step 3: Meander demodulation (synchronous detection)
+        demodulated = data_resized * self._meandr
+
+        # Step 4: Frequency segmentation
+        processed_signal = self._frequency_segmentation(demodulated)
+
+        # Step 5: FFT processing
+        fourier_spectrum = self._compute_fft_spectrum(processed_signal) / (2*3.14)
+
+        return processed_signal, fourier_spectrum
+
+    def _process_sync_det_data(
+        self,
+        adc_data: NDArray[np.floating],
+    ) -> tuple[NDArray[np.floating], NDArray[np.floating]]:
+        """
+        Process SYNC_DET data (0xF0 format).
+
+        Pipeline (based on main.py lines 898-917):
+        1. Interpolate to standard size (1000)
+        2. Use data directly as signal (already demodulated)
+        3. FFT processing with Gaussian smoothing
+
+        Returns
+        -------
+        tuple
+            (processed_signal, fourier_spectrum)
+        """
+        # Step 1: Optionally resize to standard SYNC_DET size
+        if self._config.get("disable_interpolation", False):
+            # FOURIER mode: no interpolation, use raw data size
+            data_resized = adc_data
+            logger.info("🚫 Interpolation disabled - using raw data size", size=adc_data.size)
+        else:
+            # SYNC_DET mode: interpolate to standard size
+            target_size = int(self._config["standard_sync_size"])
+            data_resized = self._resize_1d_interpolate(adc_data, target_size)
+            logger.debug(
+                "SYNC_DET data resized",
+                original_size=adc_data.size,
+                target_size=target_size,
+                min_val=float(np.min(data_resized)),
+                max_val=float(np.max(data_resized)),
+                mean_val=float(np.mean(data_resized))
+            )
+
+        # Step 2: Data is already demodulated, use directly
+        processed_signal = data_resized
+
+        # Step 3: FFT processing
+        fourier_spectrum = self._compute_fft_spectrum(processed_signal)
+
+        logger.debug(
+            "SYNC_DET processing complete",
+            signal_size=processed_signal.size,
+            fft_size=fourier_spectrum.size
+        )
+
+        return processed_signal, fourier_spectrum
+
+    def _frequency_segmentation(
+        self,
+        data: NDArray[np.floating],
+    ) -> NDArray[np.floating]:
+        """
+        Divide data into frequency segments and sum each segment.
+
+        Based on main.py lines 866-884.
+
+        Parameters
+        ----------
+        data : ndarray
+            Demodulated signal
+
+        Returns
+        -------
+        ndarray
+            Segmented and summed signal
+        """
+        pont_in_one_fq = int(self._config["pont_in_one_fq_change"])
+
+        signal_list = []
+        start = 0
+        segment_start_idx = 0
+
+        for idx in range(len(data)):
+            if (idx - start) > pont_in_one_fq:
+                segment = data[segment_start_idx:idx]
+                if segment.size > 0:
+                    # Sum the segment to extract signal
+                    signal_list.append(np.sum(segment))
+                start = idx
+                segment_start_idx = idx
+
+        return np.array(signal_list, dtype=float)
+
+    def _compute_fft_spectrum(
+        self,
+        signal: NDArray[np.floating],
+    ) -> NDArray[np.floating]:
+        """
+        Compute FFT spectrum with Gaussian smoothing.
+
+        Based on main.py lines 984-994.
+
+        Parameters
+        ----------
+        signal : ndarray
+            Input signal (processed or raw)
+
+        Returns
+        -------
+        ndarray
+            Smoothed FFT magnitude spectrum
+        """
+        fq_end = int(self._config["fq_end"])
+        gaussian_sigma = float(self._config["gaussian_sigma"])
+        fft0_delta = int(self._config["fft0_delta"])
+
+        # Cut signal to FFT length
+        sig_cut = signal[:fq_end] if len(signal) >= fq_end else signal
+
+        # Take square root of absolute value (as in main.py)
+        sig_cut = np.sqrt(np.abs(sig_cut))
+
+        # Compute FFT
+        F = np.fft.fft(sig_cut)
+        Fshift = np.abs(np.fft.fftshift(F))
+
+        # Zero out the center (remove DC component and nearby artifacts)
+        center = len(sig_cut) // 2
+        if center < len(Fshift):
+            zero_start = max(center - 0, 0)
+            zero_end = min(center + 1, len(Fshift))
+            Fshift[zero_start:zero_end] = 0
+
+        # Apply Gaussian smoothing
+        FshiftS = gaussian_filter1d(Fshift, gaussian_sigma)
+
+        return FshiftS
+
+    def _generate_frequency_axis(
+        self,
+        signal: NDArray[np.floating],
+    ) -> NDArray[np.floating]:
+        """
+        Generate frequency axis for visualization.
+
+        Based on main.py lines 1041-1042: maps signal indices to 3-13.67 GHz range.
+
+        Parameters
+        ----------
+        signal : ndarray
+            Processed signal
+
+        Returns
+        -------
+        ndarray
+            Frequency axis in GHz
+        """
+        freq_start = float(self._config["freq_start_ghz"])
+        freq_stop = float(self._config["freq_stop_ghz"])
+
+        signal_size = signal.size
+        if signal_size == 0:
+            return np.array([])
+
+        # Calculate frequency per point
+        freq_range = freq_stop - freq_start
+        per_point_fq = freq_range / signal_size
+
+        # Generate frequency axis: start + (index * per_point_fq)
+        freq_axis = freq_start + (np.arange(1, signal_size + 1) * per_point_fq)
+
+        return freq_axis

vna_system/core/processors/manager.py

@@ -397,11 +397,13 @@ class ProcessorManager:
         try:
             from .implementations.magnitude_processor import MagnitudeProcessor
             from .implementations.bscan_processor import BScanProcessor
+            from .implementations.rfg_processor import RFGProcessor
+
 
-            
             # self.register_processor(PhaseProcessor(self.config_dir))
             self.register_processor(BScanProcessor(self.config_dir))
             self.register_processor(MagnitudeProcessor(self.config_dir))
+            self.register_processor(RFGProcessor(self.config_dir))
             # self.register_processor(SmithChartProcessor(self.config_dir))
 
             logger.info("Default processors registered", count=len(self._processors))

vna_system/web_ui/templates/index.html

@@ -348,10 +348,10 @@
                             <div class="control-section" id="laserManualSection">
                                 <h4 class="control-section-title">Параметры ручного режима</h4>
                                 <div class="laser-params-table">
-                                    <div class="laser-param-cell laser-param-header">Температура лазера 1 (°C)</div>
-                                    <div class="laser-param-cell laser-param-header">Температура лазера 2 (°C)</div>
-                                    <div class="laser-param-cell laser-param-header">Управляющий ток лазера 1 (15-60 мА)</div>
-                                    <div class="laser-param-cell laser-param-header">Управляющий ток лазера 2 (15-60 мА)</div>
+                                    <div class="laser-param-cell laser-param-header">T1 (°C)</div>
+                                    <div class="laser-param-cell laser-param-header">T2 (°C)</div>
+                                    <div class="laser-param-cell laser-param-header">Ток L1 (мА)</div>
+                                    <div class="laser-param-cell laser-param-header">Ток L2 (мА)</div>
 
                                     <div class="laser-param-cell laser-param-input">
                                         <input type="number" class="settings-input" id="laserTemp1"
@@ -374,63 +374,54 @@
 
                             <!-- Scan Mode Controls -->
                             <div class="control-section" id="laserScanSection" style="display: none;">
-                                <h4 class="control-section-title">Режим сканирования тока лазера 1</h4>
+                                <h4 class="control-section-title">Параметры сканирования тока лазера 1</h4>
+                                <div class="laser-params-table">
+                                    <!-- Row 1: Headers -->
+                                    <div class="laser-param-cell laser-param-header">Мин ток L1 (мА)</div>
+                                    <div class="laser-param-cell laser-param-header">Макс ток L1 (мА)</div>
+                                    <div class="laser-param-cell laser-param-header">Шаг тока L1 (мА)</div>
+                                    <div class="laser-param-cell laser-param-header">Δt (мкс)</div>
 
-                                <div class="control-subsection">
-                                    <h5 class="control-subsection-title">Параметры сканирования</h5>
-                                    <div class="control-grid">
-                                        <div class="control-group">
-                                            <label class="control-label">Минимальный ток лазера 1 (мА):</label>
-                                            <input type="number" class="settings-input" id="laserMinCurrent1"
-                                                   min="15" max="70" step="0.1" value="33" disabled>
-                                        </div>
-                                        <div class="control-group">
-                                            <label class="control-label">Максимальный ток лазера 1 (мА):</label>
-                                            <input type="number" class="settings-input" id="laserMaxCurrent1"
-                                                   min="15" max="70" step="0.1" value="70" disabled>
-                                        </div>
-                                        <div class="control-group">
-                                            <label class="control-label">Шаг дискретизации тока лазера 1 (0.002-0.5 мА):</label>
-                                            <input type="number" class="settings-input" id="laserDeltaCurrent1"
-                                                   min="0.002" max="0.5" step="0.001" value="0.05" disabled>
-                                        </div>
+                                    <!-- Row 2: Inputs -->
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserMinCurrent1"
+                                               min="15" max="70" step="0.1" value="33" disabled>
                                     </div>
-                                </div>
-
-                                <div class="control-subsection">
-                                    <h5 class="control-subsection-title">Фиксированные параметры</h5>
-                                    <div class="control-grid">
-                                        <div class="control-group">
-                                            <label class="control-label">Температура лазера 1 (°C):</label>
-                                            <input type="number" class="settings-input" id="laserScanTemp1"
-                                                   min="-1" max="45" step="0.1" value="28" disabled>
-                                        </div>
-                                        <div class="control-group">
-                                            <label class="control-label">Температура лазера 2 (°C):</label>
-                                            <input type="number" class="settings-input" id="laserScanTemp2"
-                                                   min="-1" max="45" step="0.1" value="28.9" disabled>
-                                        </div>
-                                        <div class="control-group">
-                                            <label class="control-label">Управляющий ток лазера 2 (мА):</label>
-                                            <input type="number" class="settings-input" id="laserScanCurrent2"
-                                                   min="15" max="60" step="0.1" value="35" disabled>
-                                        </div>
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserMaxCurrent1"
+                                               min="15" max="70" step="0.1" value="70" disabled>
+                                    </div>
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserDeltaCurrent1"
+                                               min="0.002" max="0.5" step="0.001" value="0.05" disabled>
+                                    </div>
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserDeltaTime"
+                                               min="20" max="100" step="10" value="50" disabled>
                                     </div>
-                                </div>
 
-                                <div class="control-subsection">
-                                    <h5 class="control-subsection-title">Параметры времени</h5>
-                                    <div class="control-grid">
-                                        <div class="control-group">
-                                            <label class="control-label">Шаг дискретизации времени (20-100 мкс, шаг 10):</label>
-                                            <input type="number" class="settings-input" id="laserDeltaTime"
-                                                   min="20" max="100" step="10" value="50" disabled>
-                                        </div>
-                                        <div class="control-group">
-                                            <label class="control-label">Время задержки (3-10 мс):</label>
-                                            <input type="number" class="settings-input" id="laserTau"
-                                                   min="3" max="10" step="1" value="10" disabled>
-                                        </div>
+                                    <!-- Row 3: Fixed params headers -->
+                                    <div class="laser-param-cell laser-param-header">T1 (°C)</div>
+                                    <div class="laser-param-cell laser-param-header">T2 (°C)</div>
+                                    <div class="laser-param-cell laser-param-header">Ток L2 (мА)</div>
+                                    <div class="laser-param-cell laser-param-header">Tau (мс)</div>
+
+                                    <!-- Row 4: Fixed params inputs -->
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserScanTemp1"
+                                               min="-1" max="45" step="0.1" value="28" disabled>
+                                    </div>
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserScanTemp2"
+                                               min="-1" max="45" step="0.1" value="28.9" disabled>
+                                    </div>
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserScanCurrent2"
+                                               min="15" max="60" step="0.1" value="35" disabled>
+                                    </div>
+                                    <div class="laser-param-cell laser-param-input">
+                                        <input type="number" class="settings-input" id="laserTau"
+                                               min="3" max="10" step="1" value="10" disabled>
                                     </div>
                                 </div>
                             </div>