10 Commits

Author SHA1 Message Date
awe
2e6ad24aaa ad to gitignore 2026-02-19 18:34:59 +03:00
02fa3645d7 Now software can be run by: run_dataplotter /dev/ttyACM0 2026-02-18 23:07:17 +03:00
ece30f1cd5 impoved tty parser binary mode: now it supports 32-bit values of intensity 2026-02-18 23:01:34 +03:00
8b1d424cbe New tty parser: accepts binary format. Enable arg: --bin 2026-02-17 18:51:12 +03:00
awe
34d151aef1 fix bug 2026-02-13 17:49:43 +03:00
awe
0ecb83751f add background remove 2026-02-13 17:45:14 +03:00
awe
66a318fff8 add calibration file 2026-02-13 17:32:04 +03:00
awe
d2d504f5b8 fix axis 2026-02-11 19:26:00 +03:00
awe
66b9eee230 right ifft implementation 2026-02-11 18:43:43 +03:00
awe
ea57f87920 new graph style 2026-02-11 18:27:12 +03:00
13 changed files with 656 additions and 1753 deletions

1
.gitignore vendored
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@ -6,3 +6,4 @@ __pycache__/
*.bak
*.swp
*.swo
acm_9

File diff suppressed because it is too large Load Diff

BIN
background.npy Normal file

Binary file not shown.

BIN
calib_envelope.npy Normal file

Binary file not shown.

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@ -1,5 +1,13 @@
WF_WIDTH = 1000 # максимальное число точек в ряду водопада
FFT_LEN = 1024 # длина БПФ для спектра/водопада спектров
FFT_LEN = 2048 # длина БПФ для спектра/водопада спектров
# Порог для инверсии сырых данных: если среднее значение свипа ниже порога —
# считаем, что сигнал «меньше нуля» и домножаем свип на -1
DATA_INVERSION_THRESHOLD = 10.0
# Параметры IFFT-спектра (временной профиль из спектра 3.2..14.3 ГГц)
# Двусторонний спектр формируется как: [нули -14.3..-3.2 | нули -3.2..+3.2 | данные +3.2..+14.3]
ZEROS_LOW = 758 # нули от -14.3 до -3.2 ГГц
ZEROS_MID = 437 # нули от -3.2 до +3.2 ГГц
SWEEP_LEN = 758 # ожидаемая длина свипа (3.2 → 14.3 ГГц)
FREQ_SPAN_GHZ = 28.6 # полная двусторонняя полоса (-14.3 .. +14.3 ГГц)
IFFT_LEN = ZEROS_LOW + ZEROS_MID + SWEEP_LEN # = 1953

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@ -7,9 +7,12 @@ from typing import Optional, Tuple
import numpy as np
from rfg_adc_plotter.constants import FFT_LEN
from rfg_adc_plotter.constants import FFT_LEN, FREQ_SPAN_GHZ, IFFT_LEN
_IFFT_T_MAX_NS = float((IFFT_LEN - 1) / (FREQ_SPAN_GHZ * 1e9) * 1e9)
from rfg_adc_plotter.io.sweep_reader import SweepReader
from rfg_adc_plotter.state.app_state import AppState, format_status
from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
from rfg_adc_plotter.state.app_state import BACKGROUND_PATH, CALIB_ENVELOPE_PATH, AppState, format_status
from rfg_adc_plotter.state.ring_buffer import RingBuffer
from rfg_adc_plotter.types import SweepPacket
@ -86,7 +89,14 @@ def run_matplotlib(args):
q: Queue[SweepPacket] = Queue(maxsize=1000)
stop_event = threading.Event()
reader = SweepReader(args.port, args.baud, q, stop_event, fancy=bool(args.fancy))
reader = SweepReader(
args.port,
args.baud,
q,
stop_event,
fancy=bool(args.fancy),
bin_mode=bool(getattr(args, "bin_mode", False)),
)
reader.start()
max_sweeps = int(max(10, args.max_sweeps))
@ -112,10 +122,11 @@ def run_matplotlib(args):
# График последнего свипа
line_obj, = ax_line.plot([], [], lw=1, color="tab:blue")
line_calib_obj, = ax_line.plot([], [], lw=1, color="tab:red")
line_norm_obj, = ax_line.plot([], [], lw=1, color="tab:green")
line_env_lo, = ax_line.plot([], [], lw=1, color="tab:orange", linestyle="--", alpha=0.7)
line_env_hi, = ax_line.plot([], [], lw=1, color="tab:orange", linestyle="--", alpha=0.7)
ax_line.set_title("Сырые данные", pad=1)
ax_line.set_xlabel("F")
ax_line.set_xlabel("Частота, ГГц")
channel_text = ax_line.text(
0.98, 0.98, "", transform=ax_line.transAxes,
ha="right", va="top", fontsize=9, family="monospace",
@ -126,8 +137,8 @@ def run_matplotlib(args):
# График спектра
fft_line_obj, = ax_fft.plot([], [], lw=1)
ax_fft.set_title("FFT", pad=1)
ax_fft.set_xlabel("X")
ax_fft.set_ylabel("Амплитуда, дБ")
ax_fft.set_xlabel("Время, нс")
ax_fft.set_ylabel("Мощность, дБ")
# Водопад сырых данных
img_obj = ax_img.imshow(
@ -147,7 +158,7 @@ def run_matplotlib(args):
aspect="auto", interpolation="nearest", origin="lower", cmap=args.cmap,
)
ax_spec.set_title("B-scan (дБ)", pad=12)
ax_spec.set_ylabel("расстояние")
ax_spec.set_ylabel("Время, нс")
try:
ax_spec.tick_params(axis="x", labelbottom=False)
except Exception:
@ -161,10 +172,16 @@ def run_matplotlib(args):
ax_smax = fig.add_axes([0.95, 0.55, 0.02, 0.35])
ax_sctr = fig.add_axes([0.98, 0.55, 0.02, 0.35])
ax_cb = fig.add_axes([0.92, 0.45, 0.08, 0.08])
ax_cb_file = fig.add_axes([0.92, 0.36, 0.08, 0.08])
ymin_slider = Slider(ax_smin, "Y min", 0, max(1, fft_bins - 1), valinit=0, valstep=1, orientation="vertical")
ymax_slider = Slider(ax_smax, "Y max", 0, max(1, fft_bins - 1), valinit=max(1, fft_bins - 1), valstep=1, orientation="vertical")
contrast_slider = Slider(ax_sctr, "Int max", 0, 100, valinit=100, valstep=1, orientation="vertical")
calib_cb = CheckButtons(ax_cb, ["калибровка"], [False])
calib_file_cb = CheckButtons(ax_cb_file, ["из файла"], [False])
import os as _os
if not _os.path.isfile(CALIB_ENVELOPE_PATH):
ax_cb_file.set_visible(False)
def _on_ylim_change(_val):
try:
@ -175,28 +192,68 @@ def run_matplotlib(args):
except Exception:
pass
def _on_calib_file_clicked(_v):
use_file = bool(calib_file_cb.get_status()[0])
if use_file:
ok = state.load_calib_envelope(CALIB_ENVELOPE_PATH)
if ok:
state.set_calib_mode("file")
else:
calib_file_cb.set_active(0) # снять галочку
else:
state.set_calib_mode("live")
state.set_calib_enabled(bool(calib_cb.get_status()[0]))
def _on_calib_clicked(_v):
import os as _os2
if _os2.path.isfile(CALIB_ENVELOPE_PATH):
ax_cb_file.set_visible(True)
state.set_calib_enabled(bool(calib_cb.get_status()[0]))
fig.canvas.draw_idle()
ax_btn_bg = fig.add_axes([0.92, 0.27, 0.08, 0.05])
ax_cb_bg = fig.add_axes([0.92, 0.20, 0.08, 0.06])
from matplotlib.widgets import Button as MplButton
save_bg_btn = MplButton(ax_btn_bg, "Сохр. фон")
bg_cb = CheckButtons(ax_cb_bg, ["вычет фона"], [False])
def _on_save_bg(_event):
ok = state.save_background()
if ok:
state.load_background()
fig.canvas.draw_idle()
def _on_bg_clicked(_v):
state.set_background_enabled(bool(bg_cb.get_status()[0]))
save_bg_btn.on_clicked(_on_save_bg)
bg_cb.on_clicked(_on_bg_clicked)
ymin_slider.on_changed(_on_ylim_change)
ymax_slider.on_changed(_on_ylim_change)
contrast_slider.on_changed(lambda _v: fig.canvas.draw_idle())
calib_cb.on_clicked(lambda _v: state.set_calib_enabled(
bool(calib_cb.get_status()[0])
))
calib_cb.on_clicked(_on_calib_clicked)
calib_file_cb.on_clicked(_on_calib_file_clicked)
except Exception:
calib_cb = None
FREQ_MIN = 3.323
FREQ_MAX = 14.323
# --- Инициализация imshow при первом свипе ---
def _init_imshow_extents():
w = ring.width
ms = ring.max_sweeps
fb = ring.fft_bins
img_obj.set_data(np.zeros((w, ms), dtype=np.float32))
img_obj.set_extent((0, ms - 1, 0, w - 1 if w > 0 else 1))
img_obj.set_extent((0, ms - 1, FREQ_MIN, FREQ_MAX))
ax_img.set_xlim(0, ms - 1)
ax_img.set_ylim(0, max(1, w - 1))
ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
img_fft_obj.set_data(np.zeros((fb, ms), dtype=np.float32))
img_fft_obj.set_extent((0, ms - 1, 0, fb - 1))
img_fft_obj.set_extent((0, ms - 1, 0.0, _IFFT_T_MAX_NS))
ax_spec.set_xlim(0, ms - 1)
ax_spec.set_ylim(0, max(1, fb - 1))
ax_spec.set_ylim(0.0, _IFFT_T_MAX_NS)
ax_fft.set_xlim(0.0, _IFFT_T_MAX_NS)
_imshow_initialized = [False]
@ -214,45 +271,57 @@ def run_matplotlib(args):
xs = ring.x_shared[: raw.size]
else:
xs = np.arange(raw.size, dtype=np.int32)
line_obj.set_data(xs, raw)
if state.last_calib_sweep is not None:
line_calib_obj.set_data(xs[: state.last_calib_sweep.size], state.last_calib_sweep)
def _norm_to_max(data):
m = float(np.nanmax(np.abs(data)))
return data / m if m > 0.0 else data
line_obj.set_data(xs, _norm_to_max(raw))
if state.calib_mode == "file" and state.calib_file_envelope is not None:
upper = state.calib_file_envelope
lower = -upper
m_env = float(np.nanmax(np.abs(upper)))
if m_env <= 0.0:
m_env = 1.0
line_env_lo.set_data(xs[: upper.size], lower / m_env)
line_env_hi.set_data(xs[: upper.size], upper / m_env)
elif state.last_calib_sweep is not None:
calib = state.last_calib_sweep
m_calib = float(np.nanmax(np.abs(calib)))
if m_calib <= 0.0:
m_calib = 1.0
lower, upper = build_calib_envelopes(calib)
line_env_lo.set_data(xs[: calib.size], lower / m_calib)
line_env_hi.set_data(xs[: calib.size], upper / m_calib)
else:
line_calib_obj.set_data([], [])
line_env_lo.set_data([], [])
line_env_hi.set_data([], [])
if state.current_sweep_norm is not None:
line_norm_obj.set_data(xs[: state.current_sweep_norm.size], state.current_sweep_norm)
line_norm_obj.set_data(xs[: state.current_sweep_norm.size], _norm_to_max(state.current_sweep_norm))
else:
line_norm_obj.set_data([], [])
ax_line.set_xlim(0, max(1, raw.size - 1))
ax_line.set_xlim(FREQ_MIN, FREQ_MAX)
if fixed_ylim is None:
y0 = float(np.nanmin(raw))
y1 = float(np.nanmax(raw))
if np.isfinite(y0) and np.isfinite(y1):
if y0 == y1:
pad = max(1.0, abs(y0) * 0.05)
y0 -= pad
y1 += pad
else:
pad = 0.05 * (y1 - y0)
y0 -= pad
y1 += pad
ax_line.set_ylim(y0, y1)
ax_line.set_ylim(-1.05, 1.05)
ax_line.set_ylabel("/ max")
# Спектр — используем уже вычисленный в ring FFT
if ring.last_fft_vals is not None and ring.freq_shared is not None:
# Спектр — используем уже вычисленный в ring IFFT (временной профиль)
if ring.last_fft_vals is not None and ring.fft_time_axis is not None:
fft_vals = ring.last_fft_vals
xs_fft = ring.freq_shared
if fft_vals.size > xs_fft.size:
fft_vals = fft_vals[: xs_fft.size]
fft_line_obj.set_data(xs_fft[: fft_vals.size], fft_vals)
xs_fft = ring.fft_time_axis
n = min(fft_vals.size, xs_fft.size)
fft_line_obj.set_data(xs_fft[:n], fft_vals[:n])
if np.isfinite(np.nanmin(fft_vals)) and np.isfinite(np.nanmax(fft_vals)):
ax_fft.set_xlim(0, max(1, xs_fft.size - 1))
ax_fft.set_xlim(0, float(xs_fft[n - 1]))
ax_fft.set_ylim(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)))
# Водопад сырых данных
if changed and ring.is_ready:
disp = ring.get_display_ring()
if ring.x_shared is not None:
n = ring.x_shared.size
disp = disp[:n, :]
img_obj.set_data(disp)
img_obj.set_extent((0, ring.max_sweeps - 1, FREQ_MIN, FREQ_MAX))
ax_img.set_ylim(FREQ_MIN, FREQ_MAX)
levels = _visible_levels(disp, ax_img)
if levels is not None:
img_obj.set_clim(vmin=levels[0], vmax=levels[1])
@ -276,7 +345,7 @@ def run_matplotlib(args):
status_text.set_text(format_status(state.current_info))
channel_text.set_text(state.format_channel_label())
return (line_obj, line_calib_obj, line_norm_obj, img_obj, fft_line_obj, img_fft_obj, status_text, channel_text)
return (line_obj, line_norm_obj, line_env_lo, line_env_hi, img_obj, fft_line_obj, img_fft_obj, status_text, channel_text)
ani = FuncAnimation(fig, update, interval=interval_ms, blit=False)
plt.show()

View File

@ -7,11 +7,16 @@ from typing import Optional, Tuple
import numpy as np
from rfg_adc_plotter.constants import FREQ_SPAN_GHZ, IFFT_LEN
from rfg_adc_plotter.io.sweep_reader import SweepReader
from rfg_adc_plotter.state.app_state import AppState, format_status
from rfg_adc_plotter.processing.normalizer import build_calib_envelopes
from rfg_adc_plotter.state.app_state import BACKGROUND_PATH, CALIB_ENVELOPE_PATH, AppState, format_status
from rfg_adc_plotter.state.ring_buffer import RingBuffer
from rfg_adc_plotter.types import SweepPacket
# Максимальное значение временной оси IFFT в нс
_IFFT_T_MAX_NS = float((IFFT_LEN - 1) / (FREQ_SPAN_GHZ * 1e9) * 1e9)
def _parse_ylim(ylim_str: Optional[str]) -> Optional[Tuple[float, float]]:
if not ylim_str:
@ -39,8 +44,17 @@ def _parse_spec_clip(spec: Optional[str]) -> Optional[Tuple[float, float]]:
return None
def _visible_levels(data: np.ndarray, plot_item) -> Optional[Tuple[float, float]]:
"""(vmin, vmax) по текущей видимой области ImageItem."""
def _visible_levels(
data: np.ndarray,
plot_item,
freq_min: Optional[float] = None,
freq_max: Optional[float] = None,
) -> Optional[Tuple[float, float]]:
"""(vmin, vmax) по текущей видимой области ImageItem.
Если freq_min/freq_max заданы, ось Y трактуется как частота [freq_min..freq_max]
и пересчитывается в индексы строк данных.
"""
if data.size == 0:
return None
ny, nx = data.shape[0], data.shape[1]
@ -53,8 +67,13 @@ def _visible_levels(data: np.ndarray, plot_item) -> Optional[Tuple[float, float]
ymin, ymax = sorted((float(y0), float(y1)))
ix0 = max(0, min(nx - 1, int(np.floor(xmin))))
ix1 = max(0, min(nx - 1, int(np.ceil(xmax))))
iy0 = max(0, min(ny - 1, int(np.floor(ymin))))
iy1 = max(0, min(ny - 1, int(np.ceil(ymax))))
if freq_min is not None and freq_max is not None and freq_max > freq_min:
span = freq_max - freq_min
iy0 = max(0, min(ny - 1, int(np.floor((ymin - freq_min) / span * ny))))
iy1 = max(0, min(ny - 1, int(np.ceil((ymax - freq_min) / span * ny))))
else:
iy0 = max(0, min(ny - 1, int(np.floor(ymin))))
iy1 = max(0, min(ny - 1, int(np.ceil(ymax))))
if ix1 < ix0:
ix1 = ix0
if iy1 < iy0:
@ -87,7 +106,14 @@ def run_pyqtgraph(args):
q: Queue[SweepPacket] = Queue(maxsize=1000)
stop_event = threading.Event()
reader = SweepReader(args.port, args.baud, q, stop_event, fancy=bool(args.fancy))
reader = SweepReader(
args.port,
args.baud,
q,
stop_event,
fancy=bool(args.fancy),
bin_mode=bool(getattr(args, "bin_mode", False)),
)
reader.start()
max_sweeps = int(max(10, args.max_sweeps))
@ -111,10 +137,13 @@ def run_pyqtgraph(args):
p_line = win.addPlot(row=0, col=0, title="Сырые данные")
p_line.showGrid(x=True, y=True, alpha=0.3)
curve = p_line.plot(pen=pg.mkPen((80, 120, 255), width=1))
curve_calib = p_line.plot(pen=pg.mkPen((220, 60, 60), width=1))
curve_norm = p_line.plot(pen=pg.mkPen((60, 180, 90), width=1))
p_line.setLabel("bottom", "X")
curve_env_lo = p_line.plot(pen=pg.mkPen((255, 165, 0), width=1, style=QtCore.Qt.DashLine))
curve_env_hi = p_line.plot(pen=pg.mkPen((255, 165, 0), width=1, style=QtCore.Qt.DashLine))
p_line.setLabel("bottom", "Частота, ГГц")
p_line.setLabel("left", "Y")
p_line.setXRange(3.323, 14.323, padding=0)
p_line.enableAutoRange(axis="x", enable=False)
ch_text = pg.TextItem("", anchor=(1, 1))
ch_text.setZValue(10)
p_line.addItem(ch_text)
@ -130,7 +159,8 @@ def run_pyqtgraph(args):
p_img.getAxis("bottom").setStyle(showValues=False)
except Exception:
pass
p_img.setLabel("left", "X (0 снизу)")
p_img.setLabel("left", "Частота, ГГц")
p_img.enableAutoRange(enable=False)
img = pg.ImageItem()
p_img.addItem(img)
@ -145,8 +175,8 @@ def run_pyqtgraph(args):
p_fft = win.addPlot(row=1, col=0, title="FFT")
p_fft.showGrid(x=True, y=True, alpha=0.3)
curve_fft = p_fft.plot(pen=pg.mkPen((255, 120, 80), width=1))
p_fft.setLabel("bottom", "Бин")
p_fft.setLabel("left", "Амплитуда, дБ")
p_fft.setLabel("bottom", "Время, нс")
p_fft.setLabel("left", "Мощность, дБ")
# Водопад спектров (справа-снизу)
p_spec = win.addPlot(row=1, col=1, title="B-scan (дБ)")
@ -157,16 +187,76 @@ def run_pyqtgraph(args):
p_spec.getAxis("bottom").setStyle(showValues=False)
except Exception:
pass
p_spec.setLabel("left", "Бин (0 снизу)")
p_spec.setLabel("left", "Время, нс")
img_fft = pg.ImageItem()
p_spec.addItem(img_fft)
# Чекбокс калибровки
# Чекбоксы калибровки — в одном контейнере
calib_widget = QtWidgets.QWidget()
calib_layout = QtWidgets.QHBoxLayout(calib_widget)
calib_layout.setContentsMargins(2, 2, 2, 2)
calib_layout.setSpacing(8)
calib_cb = QtWidgets.QCheckBox("калибровка")
cb_proxy = QtWidgets.QGraphicsProxyWidget()
cb_proxy.setWidget(calib_cb)
win.addItem(cb_proxy, row=2, col=1)
calib_cb.stateChanged.connect(lambda _v: state.set_calib_enabled(calib_cb.isChecked()))
calib_file_cb = QtWidgets.QCheckBox("из файла")
calib_file_cb.setEnabled(False) # активируется только если файл существует
calib_layout.addWidget(calib_cb)
calib_layout.addWidget(calib_file_cb)
cb_container_proxy = QtWidgets.QGraphicsProxyWidget()
cb_container_proxy.setWidget(calib_widget)
win.addItem(cb_container_proxy, row=2, col=1)
def _check_file_cb_available():
import os
calib_file_cb.setEnabled(os.path.isfile(CALIB_ENVELOPE_PATH))
_check_file_cb_available()
def _on_calib_file_toggled(checked):
if checked:
ok = state.load_calib_envelope(CALIB_ENVELOPE_PATH)
if ok:
state.set_calib_mode("file")
else:
calib_file_cb.setChecked(False)
else:
state.set_calib_mode("live")
state.set_calib_enabled(calib_cb.isChecked())
def _on_calib_toggled(_v):
_check_file_cb_available()
state.set_calib_enabled(calib_cb.isChecked())
calib_cb.stateChanged.connect(_on_calib_toggled)
calib_file_cb.stateChanged.connect(lambda _v: _on_calib_file_toggled(calib_file_cb.isChecked()))
# Кнопка сохранения фона + чекбокс вычета фона
bg_widget = QtWidgets.QWidget()
bg_layout = QtWidgets.QHBoxLayout(bg_widget)
bg_layout.setContentsMargins(2, 2, 2, 2)
bg_layout.setSpacing(8)
save_bg_btn = QtWidgets.QPushButton("Сохр. фон")
bg_cb = QtWidgets.QCheckBox("вычет фона")
bg_cb.setEnabled(False)
bg_layout.addWidget(save_bg_btn)
bg_layout.addWidget(bg_cb)
bg_container_proxy = QtWidgets.QGraphicsProxyWidget()
bg_container_proxy.setWidget(bg_widget)
win.addItem(bg_container_proxy, row=2, col=0)
def _on_save_bg():
ok = state.save_background()
if ok:
state.load_background()
bg_cb.setEnabled(True)
save_bg_btn.clicked.connect(_on_save_bg)
bg_cb.stateChanged.connect(lambda _v: state.set_background_enabled(bg_cb.isChecked()))
# Статусная строка
status = pg.LabelItem(justify="left")
@ -174,16 +264,23 @@ def run_pyqtgraph(args):
_imshow_initialized = [False]
FREQ_MIN = 3.323
FREQ_MAX = 14.323
def _init_imshow_extents():
w = ring.width
ms = ring.max_sweeps
fb = ring.fft_bins
img.setImage(ring.ring.T, autoLevels=False)
p_img.setRange(xRange=(0, ms - 1), yRange=(0, max(1, w - 1)), padding=0)
p_line.setXRange(0, max(1, w - 1), padding=0)
img.setRect(pg.QtCore.QRectF(0.0, FREQ_MIN, float(ms), FREQ_MAX - FREQ_MIN))
p_img.setRange(xRange=(0, ms - 1), yRange=(FREQ_MIN, FREQ_MAX), padding=0)
p_line.setXRange(FREQ_MIN, FREQ_MAX, padding=0)
img_fft.setImage(ring.ring_fft.T, autoLevels=False)
p_spec.setRange(xRange=(0, ms - 1), yRange=(0, max(1, fb - 1)), padding=0)
p_fft.setXRange(0, max(1, fb - 1), padding=0)
img_fft.setRect(pg.QtCore.QRectF(0.0, 0.0, float(ms), _IFFT_T_MAX_NS))
p_spec.setRange(xRange=(0, ms - 1), yRange=(0.0, _IFFT_T_MAX_NS), padding=0)
p_fft.setXRange(0.0, _IFFT_T_MAX_NS, padding=0)
def _img_rect(ms: int) -> "pg.QtCore.QRectF":
return pg.QtCore.QRectF(0.0, FREQ_MIN, float(ms), FREQ_MAX - FREQ_MIN)
def update():
changed = state.drain_queue(q, ring) > 0
@ -196,29 +293,43 @@ def run_pyqtgraph(args):
if state.current_sweep_raw is not None and ring.x_shared is not None:
raw = state.current_sweep_raw
xs = ring.x_shared[: raw.size] if raw.size <= ring.x_shared.size else np.arange(raw.size)
curve.setData(xs, raw, autoDownsample=True)
if state.last_calib_sweep is not None:
curve_calib.setData(xs[: state.last_calib_sweep.size], state.last_calib_sweep, autoDownsample=True)
def _norm_to_max(data):
m = float(np.nanmax(np.abs(data)))
return data / m if m > 0.0 else data
curve.setData(xs, _norm_to_max(raw), autoDownsample=True)
if state.calib_mode == "file" and state.calib_file_envelope is not None:
upper = state.calib_file_envelope
lower = -upper
m_env = float(np.nanmax(np.abs(upper)))
if m_env <= 0.0:
m_env = 1.0
curve_env_lo.setData(xs[: upper.size], lower / m_env, autoDownsample=True)
curve_env_hi.setData(xs[: upper.size], upper / m_env, autoDownsample=True)
elif state.last_calib_sweep is not None:
calib = state.last_calib_sweep
m_calib = float(np.nanmax(np.abs(calib)))
if m_calib <= 0.0:
m_calib = 1.0
lower, upper = build_calib_envelopes(calib)
curve_env_lo.setData(xs[: calib.size], lower / m_calib, autoDownsample=True)
curve_env_hi.setData(xs[: calib.size], upper / m_calib, autoDownsample=True)
else:
curve_calib.setData([], [])
curve_env_lo.setData([], [])
curve_env_hi.setData([], [])
if state.current_sweep_norm is not None:
curve_norm.setData(xs[: state.current_sweep_norm.size], state.current_sweep_norm, autoDownsample=True)
curve_norm.setData(xs[: state.current_sweep_norm.size], _norm_to_max(state.current_sweep_norm), autoDownsample=True)
else:
curve_norm.setData([], [])
if fixed_ylim is None:
y0 = float(np.nanmin(raw))
y1 = float(np.nanmax(raw))
if np.isfinite(y0) and np.isfinite(y1):
margin = 0.05 * max(1.0, (y1 - y0))
p_line.setYRange(y0 - margin, y1 + margin, padding=0)
p_line.setYRange(-1.05, 1.05, padding=0)
p_line.setLabel("left", "/ max")
# Спектр — используем уже вычисленный в ring FFT
if ring.last_fft_vals is not None and ring.freq_shared is not None:
# Спектр — используем уже вычисленный в ring IFFT (временной профиль)
if ring.last_fft_vals is not None and ring.fft_time_axis is not None:
fft_vals = ring.last_fft_vals
xs_fft = ring.freq_shared
if fft_vals.size > xs_fft.size:
fft_vals = fft_vals[: xs_fft.size]
curve_fft.setData(xs_fft[: fft_vals.size], fft_vals)
xs_fft = ring.fft_time_axis
n = min(fft_vals.size, xs_fft.size)
curve_fft.setData(xs_fft[:n], fft_vals[:n])
p_fft.setYRange(float(np.nanmin(fft_vals)), float(np.nanmax(fft_vals)), padding=0)
# Позиция подписи канала
@ -233,11 +344,12 @@ def run_pyqtgraph(args):
# Водопад сырых данных — новые данные справа (без реверса)
if changed and ring.is_ready:
disp = ring.get_display_ring() # (width, time), новые справа
levels = _visible_levels(disp, p_img)
levels = _visible_levels(disp, p_img, FREQ_MIN, FREQ_MAX)
if levels is not None:
img.setImage(disp, autoLevels=False, levels=levels)
else:
img.setImage(disp, autoLevels=False)
img.setRect(_img_rect(ring.max_sweeps))
# Статус и подпись канала
if changed and state.current_info:
@ -256,6 +368,7 @@ def run_pyqtgraph(args):
img_fft.setImage(disp_fft, autoLevels=False, levels=levels)
else:
img_fft.setImage(disp_fft, autoLevels=False)
img_fft.setRect(pg.QtCore.QRectF(0.0, 0.0, float(ring.max_sweeps), _IFFT_T_MAX_NS))
timer = pg.QtCore.QTimer()
timer.timeout.connect(update)

View File

@ -24,6 +24,7 @@ class SweepReader(threading.Thread):
out_queue: "Queue[SweepPacket]",
stop_event: threading.Event,
fancy: bool = False,
bin_mode: bool = False,
):
super().__init__(daemon=True)
self._port_path = port_path
@ -32,11 +33,17 @@ class SweepReader(threading.Thread):
self._stop = stop_event
self._src: Optional[SerialLineSource] = None
self._fancy = bool(fancy)
self._bin_mode = bool(bin_mode)
self._max_width: int = 0
self._sweep_idx: int = 0
self._last_sweep_ts: Optional[float] = None
self._n_valid_hist = deque()
@staticmethod
def _u32_to_i32(v: int) -> int:
"""Преобразование 32-bit слова в знаковое значение."""
return v - 0x1_0000_0000 if (v & 0x8000_0000) else v
def _finalize_current(self, xs, ys, channels: Optional[set]):
if not xs:
return
@ -135,11 +142,148 @@ class SweepReader(threading.Thread):
except Exception:
pass
def run(self):
xs: list = []
ys: list = []
def _run_ascii_stream(self, chunk_reader: SerialChunkReader):
xs: list[int] = []
ys: list[int] = []
cur_channel: Optional[int] = None
cur_channels: set = set()
cur_channels: set[int] = set()
buf = bytearray()
while not self._stop.is_set():
data = chunk_reader.read_available()
if data:
buf += data
else:
time.sleep(0.0005)
continue
while True:
nl = buf.find(b"\n")
if nl == -1:
break
line = bytes(buf[:nl])
del buf[: nl + 1]
if line.endswith(b"\r"):
line = line[:-1]
if not line:
continue
if line.startswith(b"Sweep_start"):
self._finalize_current(xs, ys, cur_channels)
xs.clear()
ys.clear()
cur_channel = None
cur_channels.clear()
continue
if len(line) >= 3:
parts = line.split()
if len(parts) >= 3 and (parts[0].lower() == b"s" or parts[0].lower().startswith(b"s")):
try:
if parts[0].lower() == b"s":
if len(parts) >= 4:
ch = int(parts[1], 10)
x = int(parts[2], 10)
y = int(parts[3], 10)
else:
ch = 0
x = int(parts[1], 10)
y = int(parts[2], 10)
else:
ch = int(parts[0][1:], 10)
x = int(parts[1], 10)
y = int(parts[2], 10)
except Exception:
continue
if cur_channel is None:
cur_channel = ch
cur_channels.add(ch)
xs.append(x)
ys.append(y)
if len(buf) > 1_000_000:
del buf[:-262144]
self._finalize_current(xs, ys, cur_channels)
def _run_binary_stream(self, chunk_reader: SerialChunkReader):
xs: list[int] = []
ys: list[int] = []
cur_channel: Optional[int] = None
cur_channels: set[int] = set()
words = deque()
buf = bytearray()
while not self._stop.is_set():
data = chunk_reader.read_available()
if data:
buf += data
else:
time.sleep(0.0005)
continue
usable = len(buf) & ~1
if usable == 0:
continue
i = 0
while i < usable:
w = int(buf[i]) | (int(buf[i + 1]) << 8)
words.append(w)
i += 2
# Бинарный протокол:
# старт свипа (актуальный): 0xFFFF, 0xFFFF, 0xFFFF, (ch<<8)|0x0A
# старт свипа (legacy): 0xFFFF, 0xFFFF, channel, 0x0A0A
# точка: step, value_hi, value_lo, 0x000A
while len(words) >= 4:
w0 = int(words[0])
w1 = int(words[1])
w2 = int(words[2])
w3 = int(words[3])
if w0 == 0xFFFF and w1 == 0xFFFF and w2 == 0xFFFF and (w3 & 0x00FF) == 0x000A:
self._finalize_current(xs, ys, cur_channels)
xs.clear()
ys.clear()
cur_channels.clear()
cur_channel = (w3 >> 8) & 0x00FF
cur_channels.add(cur_channel)
for _ in range(4):
words.popleft()
continue
if w0 == 0xFFFF and w1 == 0xFFFF and w3 == 0x0A0A:
self._finalize_current(xs, ys, cur_channels)
xs.clear()
ys.clear()
cur_channels.clear()
cur_channel = w2
cur_channels.add(cur_channel)
for _ in range(4):
words.popleft()
continue
if w3 == 0x000A:
if cur_channel is not None:
cur_channels.add(cur_channel)
xs.append(w0)
value_u32 = (w1 << 16) | w2
ys.append(self._u32_to_i32(value_u32))
for _ in range(4):
words.popleft()
continue
# Поток может начаться с середины пакета; сдвигаемся по слову до ресинхронизации.
words.popleft()
del buf[:usable]
if len(buf) > 1_000_000:
del buf[:-262144]
self._finalize_current(xs, ys, cur_channels)
def run(self):
try:
self._src = SerialLineSource(self._port_path, self._baud, timeout=1.0)
@ -150,66 +294,11 @@ class SweepReader(threading.Thread):
try:
chunk_reader = SerialChunkReader(self._src)
buf = bytearray()
while not self._stop.is_set():
data = chunk_reader.read_available()
if data:
buf += data
else:
time.sleep(0.0005)
continue
while True:
nl = buf.find(b"\n")
if nl == -1:
break
line = bytes(buf[:nl])
del buf[: nl + 1]
if line.endswith(b"\r"):
line = line[:-1]
if not line:
continue
if line.startswith(b"Sweep_start"):
self._finalize_current(xs, ys, cur_channels)
xs.clear()
ys.clear()
cur_channel = None
cur_channels.clear()
continue
if len(line) >= 3:
parts = line.split()
if len(parts) >= 3 and (parts[0].lower() == b"s" or parts[0].lower().startswith(b"s")):
try:
if parts[0].lower() == b"s":
if len(parts) >= 4:
ch = int(parts[1], 10)
x = int(parts[2], 10)
y = int(parts[3], 10)
else:
ch = 0
x = int(parts[1], 10)
y = int(parts[2], 10)
else:
ch = int(parts[0][1:], 10)
x = int(parts[1], 10)
y = int(parts[2], 10)
except Exception:
continue
if cur_channel is None:
cur_channel = ch
cur_channels.add(ch)
xs.append(x)
ys.append(y)
if len(buf) > 1_000_000:
del buf[:-262144]
if self._bin_mode:
self._run_binary_stream(chunk_reader)
else:
self._run_ascii_stream(chunk_reader)
finally:
try:
self._finalize_current(xs, ys, cur_channels)
except Exception:
pass
try:
if self._src is not None:
self._src.close()

9
rfg_adc_plotter/main.py Normal file → Executable file
View File

@ -77,6 +77,15 @@ def build_parser() -> argparse.ArgumentParser:
default="projector",
help="Тип нормировки: projector (по огибающим в [-1000,+1000]) или simple (raw/calib)",
)
parser.add_argument(
"--bin",
dest="bin_mode",
action="store_true",
help=(
"Бинарный протокол: старт свипа 0xFFFF,0xFFFF,0xFFFF,(CH<<8)|0x0A; "
"точки step,uint32(hi16,lo16),0x000A"
),
)
return parser

View File

@ -18,7 +18,11 @@ def normalize_simple(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
"""Оценить нижнюю/верхнюю огибающие калибровочной кривой."""
"""Оценить огибающую по модулю сигнала.
Возвращает (lower, upper) = (-envelope, +envelope), где envelope —
интерполяция через локальные максимумы |calib|.
"""
n = int(calib.size)
if n <= 0:
empty = np.zeros((0,), dtype=np.float32)
@ -35,11 +39,14 @@ def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
y = y.copy()
y[~finite] = np.interp(x[~finite], x[finite], y[finite]).astype(np.float32)
if n < 3:
return y.copy(), y.copy()
a = np.abs(y)
dy = np.diff(y)
s = np.sign(dy).astype(np.int8, copy=False)
if n < 3:
env = a.copy()
return -env, env
da = np.diff(a)
s = np.sign(da).astype(np.int8, copy=False)
if np.any(s == 0):
for i in range(1, s.size):
@ -51,27 +58,16 @@ def build_calib_envelopes(calib: np.ndarray) -> Tuple[np.ndarray, np.ndarray]:
s[s == 0] = 1
max_idx = np.where((s[:-1] > 0) & (s[1:] < 0))[0] + 1
min_idx = np.where((s[:-1] < 0) & (s[1:] > 0))[0] + 1
x = np.arange(n, dtype=np.float32)
def _interp_nodes(nodes: np.ndarray) -> np.ndarray:
if nodes.size == 0:
idx = np.array([0, n - 1], dtype=np.int64)
else:
idx = np.unique(np.concatenate(([0], nodes, [n - 1]))).astype(np.int64)
return np.interp(x, idx.astype(np.float32), y[idx]).astype(np.float32)
if max_idx.size == 0:
idx = np.array([0, n - 1], dtype=np.int64)
else:
idx = np.unique(np.concatenate(([0], max_idx, [n - 1]))).astype(np.int64)
env = np.interp(x, idx.astype(np.float32), a[idx]).astype(np.float32)
upper = _interp_nodes(max_idx)
lower = _interp_nodes(min_idx)
swap = lower > upper
if np.any(swap):
tmp = upper[swap].copy()
upper[swap] = lower[swap]
lower[swap] = tmp
return lower, upper
return -env, env
def normalize_projector(raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
@ -113,3 +109,41 @@ def normalize_by_calib(raw: np.ndarray, calib: np.ndarray, norm_type: str) -> np
if nt == "simple":
return normalize_simple(raw, calib)
return normalize_projector(raw, calib)
def normalize_by_envelope(raw: np.ndarray, envelope: np.ndarray) -> np.ndarray:
"""Нормировка свипа через проекцию на огибающую из файла.
Воспроизводит логику normalize_projector: проецирует raw в [-1000, +1000]
используя готовую верхнюю огибающую (upper = envelope, lower = -envelope).
"""
w = min(raw.size, envelope.size)
if w <= 0:
return raw
out = np.full_like(raw, np.nan, dtype=np.float32)
raw_seg = np.asarray(raw[:w], dtype=np.float32)
upper = np.asarray(envelope[:w], dtype=np.float32)
lower = -upper
span = upper - lower # = 2 * upper
finite_span = span[np.isfinite(span) & (span > 0)]
if finite_span.size > 0:
eps = max(float(np.median(finite_span)) * 1e-6, 1e-9)
else:
eps = 1e-9
valid = (
np.isfinite(raw_seg)
& np.isfinite(lower)
& np.isfinite(upper)
& (span > eps)
)
if np.any(valid):
proj = np.empty_like(raw_seg, dtype=np.float32)
proj[valid] = ((2.0 * (raw_seg[valid] - lower[valid]) / span[valid]) - 1.0) * 1000.0
proj[valid] = np.clip(proj[valid], -1000.0, 1000.0)
proj[~valid] = np.nan
out[:w] = proj
return out

View File

@ -1,14 +1,22 @@
"""Состояние приложения: текущие свипы и настройки калибровки/нормировки."""
import os
from queue import Empty, Queue
from typing import Any, Dict, Mapping, Optional
import numpy as np
from rfg_adc_plotter.processing.normalizer import normalize_by_calib
from rfg_adc_plotter.processing.normalizer import (
build_calib_envelopes,
normalize_by_calib,
normalize_by_envelope,
)
from rfg_adc_plotter.state.ring_buffer import RingBuffer
from rfg_adc_plotter.types import SweepInfo, SweepPacket
CALIB_ENVELOPE_PATH = "calib_envelope.npy"
BACKGROUND_PATH = "background.npy"
def format_status(data: Mapping[str, Any]) -> str:
"""Преобразовать словарь метрик в одну строку 'k:v'."""
@ -44,21 +52,106 @@ class AppState:
self.current_info: Optional[SweepInfo] = None
self.calib_enabled: bool = False
self.norm_type: str = norm_type
# "live" — нормировка по текущему ch0-свипу; "file" — по огибающей из файла
self.calib_mode: str = "live"
self.calib_file_envelope: Optional[np.ndarray] = None
# Вычет фона
self.background: Optional[np.ndarray] = None
self.background_enabled: bool = False
self._last_sweep_for_ring: Optional[np.ndarray] = None
def _normalize(self, raw: np.ndarray, calib: np.ndarray) -> np.ndarray:
if self.calib_mode == "file" and self.calib_file_envelope is not None:
return normalize_by_envelope(raw, self.calib_file_envelope)
return normalize_by_calib(raw, calib, self.norm_type)
def save_calib_envelope(self, path: str = CALIB_ENVELOPE_PATH) -> bool:
"""Вычислить огибающую из last_calib_sweep и сохранить в файл.
Возвращает True при успехе.
"""
if self.last_calib_sweep is None:
return False
try:
_lower, upper = build_calib_envelopes(self.last_calib_sweep)
np.save(path, upper)
return True
except Exception as exc:
import sys
sys.stderr.write(f"[warn] Не удалось сохранить огибающую: {exc}\n")
return False
def load_calib_envelope(self, path: str = CALIB_ENVELOPE_PATH) -> bool:
"""Загрузить огибающую из файла.
Возвращает True при успехе.
"""
if not os.path.isfile(path):
return False
try:
env = np.load(path)
self.calib_file_envelope = np.asarray(env, dtype=np.float32)
return True
except Exception as exc:
import sys
sys.stderr.write(f"[warn] Не удалось загрузить огибающую: {exc}\n")
return False
def set_calib_mode(self, mode: str):
"""Переключить режим калибровки: 'live' или 'file'."""
self.calib_mode = mode
def save_background(self, path: str = BACKGROUND_PATH) -> bool:
"""Сохранить текущий sweep_for_ring как фоновый спектр.
Сохраняет последний свип, который был записан в ринг-буфер
(нормированный, если калибровка включена, иначе сырой).
Возвращает True при успехе.
"""
if self._last_sweep_for_ring is None:
return False
try:
np.save(path, self._last_sweep_for_ring)
return True
except Exception as exc:
import sys
sys.stderr.write(f"[warn] Не удалось сохранить фон: {exc}\n")
return False
def load_background(self, path: str = BACKGROUND_PATH) -> bool:
"""Загрузить фоновый спектр из файла.
Возвращает True при успехе.
"""
if not os.path.isfile(path):
return False
try:
bg = np.load(path)
self.background = np.asarray(bg, dtype=np.float32)
return True
except Exception as exc:
import sys
sys.stderr.write(f"[warn] Не удалось загрузить фон: {exc}\n")
return False
def set_background_enabled(self, enabled: bool):
"""Включить/выключить вычет фона."""
self.background_enabled = enabled
def set_calib_enabled(self, enabled: bool):
"""Включить/выключить режим калибровки, пересчитать norm-свип."""
self.calib_enabled = enabled
if (
self.calib_enabled
and self.current_sweep_raw is not None
and self.last_calib_sweep is not None
):
self.current_sweep_norm = self._normalize(
self.current_sweep_raw, self.last_calib_sweep
)
if self.calib_enabled and self.current_sweep_raw is not None:
if self.calib_mode == "file" and self.calib_file_envelope is not None:
self.current_sweep_norm = normalize_by_envelope(
self.current_sweep_raw, self.calib_file_envelope
)
elif self.calib_mode == "live" and self.last_calib_sweep is not None:
self.current_sweep_norm = self._normalize(
self.current_sweep_raw, self.last_calib_sweep
)
else:
self.current_sweep_norm = None
else:
self.current_sweep_norm = None
@ -86,16 +179,31 @@ class AppState:
# Канал 0 — опорный (калибровочный) свип
if ch == 0:
self.last_calib_sweep = s
self.save_calib_envelope()
self.current_sweep_norm = None
sweep_for_ring = s
self._last_sweep_for_ring = sweep_for_ring
else:
if self.calib_enabled and self.last_calib_sweep is not None:
self.current_sweep_norm = self._normalize(s, self.last_calib_sweep)
can_normalize = self.calib_enabled and (
(self.calib_mode == "file" and self.calib_file_envelope is not None)
or (self.calib_mode == "live" and self.last_calib_sweep is not None)
)
if can_normalize:
calib_ref = self.last_calib_sweep if self.last_calib_sweep is not None else s
self.current_sweep_norm = self._normalize(s, calib_ref)
sweep_for_ring = self.current_sweep_norm
else:
self.current_sweep_norm = None
sweep_for_ring = s
# Вычет фона (в том же домене что и sweep_for_ring)
if self.background_enabled and self.background is not None and ch != 0:
w = min(sweep_for_ring.size, self.background.size)
sweep_for_ring = sweep_for_ring.copy()
sweep_for_ring[:w] -= self.background[:w]
self.current_sweep_norm = sweep_for_ring
self._last_sweep_for_ring = sweep_for_ring
ring.ensure_init(s.size)
ring.push(sweep_for_ring)
return drained

View File

@ -5,7 +5,15 @@ from typing import Optional, Tuple
import numpy as np
from rfg_adc_plotter.constants import FFT_LEN, WF_WIDTH
from rfg_adc_plotter.constants import (
FFT_LEN,
FREQ_SPAN_GHZ,
IFFT_LEN,
SWEEP_LEN,
WF_WIDTH,
ZEROS_LOW,
ZEROS_MID,
)
class RingBuffer:
@ -17,7 +25,7 @@ class RingBuffer:
def __init__(self, max_sweeps: int):
self.max_sweeps = max_sweeps
self.fft_bins = FFT_LEN // 2 + 1
self.fft_bins = IFFT_LEN # = 1953 (полная длина IFFT-результата)
# Инициализируются при первом свипе (ensure_init)
self.ring: Optional[np.ndarray] = None # (max_sweeps, WF_WIDTH)
@ -26,7 +34,7 @@ class RingBuffer:
self.head: int = 0
self.width: Optional[int] = None
self.x_shared: Optional[np.ndarray] = None
self.freq_shared: Optional[np.ndarray] = None
self.fft_time_axis: Optional[np.ndarray] = None # временная ось IFFT в нс
self.y_min_fft: Optional[float] = None
self.y_max_fft: Optional[float] = None
# FFT последнего свипа (для отображения без повторного вычисления)
@ -37,16 +45,20 @@ class RingBuffer:
return self.ring is not None
def ensure_init(self, sweep_width: int):
"""Инициализировать буферы при первом свипе. Повторные вызовы — no-op."""
if self.ring is not None:
return
self.width = WF_WIDTH
self.x_shared = np.arange(self.width, dtype=np.int32)
self.ring = np.full((self.max_sweeps, self.width), np.nan, dtype=np.float32)
self.ring_time = np.full((self.max_sweeps,), np.nan, dtype=np.float64)
self.ring_fft = np.full((self.max_sweeps, self.fft_bins), np.nan, dtype=np.float32)
self.freq_shared = np.arange(self.fft_bins, dtype=np.int32)
self.head = 0
"""Инициализировать буферы при первом свипе. Повторные вызовы — no-op (кроме x_shared)."""
if self.ring is None:
self.width = WF_WIDTH
self.ring = np.full((self.max_sweeps, self.width), np.nan, dtype=np.float32)
self.ring_time = np.full((self.max_sweeps,), np.nan, dtype=np.float64)
self.ring_fft = np.full((self.max_sweeps, self.fft_bins), np.nan, dtype=np.float32)
# Временная ось IFFT: шаг dt = 1/(FREQ_SPAN_GHZ*1e9), переведём в нс
self.fft_time_axis = (
np.arange(IFFT_LEN, dtype=np.float64) / (FREQ_SPAN_GHZ * 1e9) * 1e9
).astype(np.float32)
self.head = 0
# Обновляем x_shared если пришёл свип большего размера
if self.x_shared is None or sweep_width > self.x_shared.size:
self.x_shared = np.linspace(3.323, 14.323, sweep_width, dtype=np.float32)
def push(self, s: np.ndarray):
"""Добавить строку свипа в кольцевой буфер, вычислить FFT-строку."""
@ -63,20 +75,29 @@ class RingBuffer:
self._push_fft(s)
def _push_fft(self, s: np.ndarray):
bins = self.ring_fft.shape[1]
take_fft = min(int(s.size), FFT_LEN)
if take_fft <= 0:
bins = self.ring_fft.shape[1] # = IFFT_LEN = 1953
if s is None or s.size == 0:
fft_row = np.full((bins,), np.nan, dtype=np.float32)
else:
fft_in = np.zeros((FFT_LEN,), dtype=np.float32)
seg = np.nan_to_num(s[:take_fft], nan=0.0).astype(np.float32, copy=False)
win = np.hanning(take_fft).astype(np.float32)
fft_in[:take_fft] = seg * win
spec = np.fft.rfft(fft_in)
mag = np.abs(spec).astype(np.float32)
# 1. Взять первые SWEEP_LEN отсчётов (остаток — нули если свип короче)
sig = np.zeros(SWEEP_LEN, dtype=np.float32)
take = min(int(s.size), SWEEP_LEN)
seg = np.nan_to_num(s[:take], nan=0.0).astype(np.float32, copy=False)
sig[:take] = seg
# 2. Собрать двусторонний спектр:
# [ZEROS_LOW нулей | ZEROS_MID нулей | SWEEP_LEN данных]
# = [-14.3..-3.2 ГГц | -3.2..+3.2 ГГц | +3.2..+14.3 ГГц]
data = np.zeros(IFFT_LEN, dtype=np.complex64)
data[ZEROS_LOW + ZEROS_MID:] = sig
# 3. ifftshift + ifft → временной профиль
spec = np.fft.ifftshift(data)
result = np.fft.ifft(spec)
# 4. Амплитуда в дБ
mag = np.abs(result).astype(np.float32)
fft_row = (20.0 * np.log10(mag + 1e-9)).astype(np.float32)
if fft_row.shape[0] != bins:
fft_row = fft_row[:bins]
prev_head = (self.head - 1) % self.ring_fft.shape[0]
self.ring_fft[prev_head, :] = fft_row

2
run_dataplotter Executable file
View File

@ -0,0 +1,2 @@
#!/usr/bin/bash
python3 -m rfg_adc_plotter.main --bin --backend mpl $@