Files
radar_system/data_acq_and_processing/gpr_cpp/src/ascan.cpp
T
aweandClaude Fable 5 b8cb572bc4 sar3d: port the Multi_antenna_3D_clean_v1 notebook algorithm
The old sar3d core was a port of the superseded Horns_3D notebook and
produced wrong volumes. The compute core now follows the reference
notebook exactly:

- segmented_interleaved frame timing rebuilt from per-trace capture
  stamps (uniform tx_per_segment split as the no-stamps fallback), with
  the coarse inter-segment dtau and the intra-sweep dtau applied as one
  phase ramp before the IFFT;
- ground scene coordinates with the ground_depth_m lift (scene Y=0 is
  the ground), full-region grid instead of a window around a center
  depth, geo_ref compensation anchored on the ground plane, power 0.3;
- notebook finalization in C++: |acc/cnt|, depth mask, normalization
  without the Y-edge planes, separable Gaussian over (Z, X), level;
- CUDA kernel computes geometry in double: float32 loses ~3e-4 of an
  A-scan sample in tau and drifts ~1e-4 from the float64 reference.

Live-config keys follow: the center_depth/half_width/grid_n window knobs
are replaced by ground/voxel/y-range/margin/sigma/power/tx_per_segment.

Parity against the notebook npz exports (frames 0034-0036 of the
20260922_mine_fast_true dataset): max|diff| <= 1.6e-6 off the depth-mask
knife edge, identical argmax, level rel diff <= 7e-7. Verified via
make sar3d_parity --dump-dir + scripts/sar3d_volume_compare.py; the
executable spec lives in scripts/sar3d_reference_check.py (bit-tight
against the npz, including the animation shifted-grid arithmetic).

Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
2026-09-25 16:42:01 +03:00

251 lines
10 KiB
C++

#include "gpr/ascan.hpp"
#include <algorithm>
#include <cmath>
#include <numeric>
#include <stdexcept>
#include "pocketfft_hdronly.h"
namespace gpr {
TxWindows uniform_tx_windows(const std::vector<int>& tx_order, double acq_s, int tx_per_segment) {
TxWindows windows;
if (tx_order.empty()) return windows;
int per_seg = std::max(1, tx_per_segment);
int n_seg = std::max(1, (int)((tx_order.size() + per_seg - 1) / per_seg));
double t_seg = acq_s / n_seg;
for (size_t k = 0; k < tx_order.size(); ++k) {
int seg = (int)k / per_seg;
windows[tx_order[k]] = {seg * t_seg, seg * t_seg + t_seg};
}
return windows;
}
PairTimestamps compute_pair_timestamps(const TxWindows& tx_windows_s, double acq_s,
const std::vector<int>& tx_order,
const GeometryConfig& geom, const MotionConfig& mot) {
// Аппаратный порядок: сперва tx_order (run.combos), затем прочие ключи окон.
std::vector<int> hw_order;
for (int tx : tx_order)
if (tx_windows_s.count(tx) && std::find(hw_order.begin(), hw_order.end(), tx) == hw_order.end())
hw_order.push_back(tx);
for (auto& [tx, _] : tx_windows_s)
if (std::find(hw_order.begin(), hw_order.end(), tx) == hw_order.end())
hw_order.push_back(tx);
// Tx с одинаковым окном — один сегмент; сегменты по возрастанию окна,
// слот — порядок появления в hw_order (порт группировки ноутбука).
std::vector<std::pair<std::pair<double, double>, std::vector<int>>> groups;
for (int tx : hw_order) {
auto win = tx_windows_s.at(tx);
auto found = std::find_if(groups.begin(), groups.end(),
[&](const auto& g) { return g.first == win; });
if (found == groups.end())
groups.push_back({win, {tx}});
else
found->second.push_back(tx);
}
std::sort(groups.begin(), groups.end(),
[](const auto& a, const auto& b) { return a.first < b.first; });
struct SegSlot { double t0, t1; int slot, n_slots; };
std::map<int, SegSlot> seg_of;
for (auto& [win, txs] : groups)
for (size_t slot = 0; slot < txs.size(); ++slot)
seg_of[txs[slot]] = {win.first, win.second, (int)slot, (int)txs.size()};
double cos_theta = std::cos(mot.look_angle_deg * M_PI / 180.0);
double t_ref = 0.5 * acq_s;
PairTimestamps ts;
for (int i = 0; i < geom.n_tx; ++i) {
auto it = seg_of.find(geom.output_idx[i]);
if (it == seg_of.end())
throw std::runtime_error("pair timestamps: нет окна для Tx");
const SegSlot& s = it->second;
PairTiming timing;
timing.tx_interleave_slot = s.slot;
timing.tx_interleave_slots = s.n_slots;
timing.segment_start_s = s.t0;
timing.segment_time_s = s.t1 - s.t0;
timing.t_center_s = 0.5 * (s.t0 + s.t1);
double dz = mot.direction_sign * mot.speed_m_s * (timing.t_center_s - t_ref) * cos_theta;
timing.dtau_pair_s = 2.0 * dz / geom.v;
for (int j = 0; j < geom.n_rx; ++j) ts[{i, j}] = timing;
}
return ts;
}
static double median_of_diff(const std::vector<double>& f) {
std::vector<double> d(f.size() - 1);
for (size_t i = 0; i + 1 < f.size(); ++i) d[i] = f[i + 1] - f[i];
std::sort(d.begin(), d.end());
size_t n = d.size();
return (n % 2) ? d[n / 2] : 0.5 * (d[n / 2 - 1] + d[n / 2]);
}
std::vector<c128> apply_intra_sweep_phase_correction(
const std::vector<c128>& s21, const std::vector<double>& freq_full,
const PairTiming& info, const MotionConfig& cfg, double wave_speed,
double f_start, double f_stop) {
std::vector<c128> out = s21;
int n_full = (int)freq_full.size();
// индексы в полосе
std::vector<int> idx;
for (int i = 0; i < n_full; ++i)
if (freq_full[i] >= f_start && freq_full[i] <= f_stop) idx.push_back(i);
if (idx.empty()) throw std::runtime_error("phase corr: пустая полоса");
if (n_full < 2) return out;
// Сегмент проходит все n_full частот за своё окно; на каждой частоте по
// очереди работают его n_slots передатчиков, поэтому событие частоты i для
// слота slot имеет номер (n_slots*i + slot) из (n_slots*n_full).
int n_slots = std::max(1, info.tx_interleave_slots);
int slot = info.tx_interleave_slot;
double dt_event = info.segment_time_s / ((double)n_slots * n_full);
double cos_theta = std::cos(cfg.look_angle_deg * M_PI / 180.0);
double pair_dtau = cfg.apply_pair_motion_correction ? info.dtau_pair_s : 0.0;
if (!cfg.apply_freq_phase_correction && pair_dtau == 0.0) return out;
for (int i : idx) {
double dtau_intra = 0.0;
if (cfg.apply_freq_phase_correction) {
double t_abs = info.segment_start_s + (double)(n_slots * i + slot) * dt_event;
double dt_intra = t_abs - info.t_center_s;
dtau_intra = 2.0 * cfg.direction_sign * cfg.speed_m_s * cos_theta * dt_intra / wave_speed;
}
double phi = 2.0 * M_PI * freq_full[i] * (dtau_intra + pair_dtau);
double ang = cfg.motion_phase_sign * phi;
out[i] *= c128(std::cos(ang), std::sin(ang));
}
return out;
}
static int next_pow2(int x) {
int p = 1;
while (p < x) p <<= 1;
return p;
}
void compute_ascan_bp(const std::vector<c128>& s21, const std::vector<double>& freq,
double f_start, double f_stop, bool window, int oversample,
std::vector<double>& t_out, std::vector<c128>& h_out) {
std::vector<double> freq_cut;
std::vector<c128> s_cut;
for (size_t i = 0; i < freq.size(); ++i)
if (freq[i] >= f_start && freq[i] <= f_stop) {
freq_cut.push_back(freq[i]);
s_cut.push_back(s21[i]);
}
if (freq_cut.size() < 2) throw std::runtime_error("ascan: <2 точек в полосе");
double df = median_of_diff(freq_cut);
int n = (int)freq_cut.size();
int k0 = (int)std::nearbyint(freq_cut[0] / df); // round-half-to-even как python round
int min_len = 2 * (k0 + n - 1);
int n_fft_base = next_pow2(min_len);
int n_fft = n_fft_base * oversample;
double dt = 1.0 / ((double)n_fft * df);
// окно Ханна (numpy np.hanning: 0.5 - 0.5*cos(2*pi*i/(N-1)))
std::vector<c128> H(n_fft, c128(0.0, 0.0));
for (int i = 0; i < n; ++i) {
c128 v = s_cut[i];
if (window) {
double w = 0.5 - 0.5 * std::cos(2.0 * M_PI * i / (n - 1));
v *= w;
}
H[k0 + i] = v;
}
// IFFT через pocketfft (backward + 1/n_fft == numpy ifft)
h_out.assign(n_fft, c128(0.0, 0.0));
pocketfft::shape_t shape{(size_t)n_fft};
pocketfft::stride_t stride{(ptrdiff_t)sizeof(c128)};
pocketfft::c2c(shape, stride, stride, {0}, pocketfft::BACKWARD,
H.data(), h_out.data(), (double)(1.0 / n_fft));
t_out.resize(n_fft);
for (int i = 0; i < n_fft; ++i) t_out[i] = i * dt;
}
double pair_norm_scale(const std::vector<c128>& h, const std::vector<double>& t,
double wave_speed, const BPConfig& bp) {
std::vector<double> vals;
vals.reserve(h.size());
for (size_t i = 0; i < h.size(); ++i) {
double z = t[i] * wave_speed / 2.0;
if (z >= bp.pair_norm_depth_min && z <= bp.pair_norm_depth_max)
vals.push_back(std::abs(h[i]));
}
if (vals.empty())
for (auto& c : h) vals.push_back(std::abs(c));
std::sort(vals.begin(), vals.end());
// numpy.percentile linear interpolation
double q = bp.pair_norm_percentile / 100.0;
double pos = q * (vals.size() - 1);
int lo = (int)std::floor(pos);
int hi = std::min(lo + 1, (int)vals.size() - 1);
double scale = vals[lo] + (pos - lo) * (vals[hi] - vals[lo]);
if (!std::isfinite(scale) || scale <= bp.pair_norm_eps) scale = 1.0;
return scale;
}
AScanSet preprocess_snapshot(
const std::map<PairKey, std::vector<c128>>& s21,
const std::map<PairKey, std::vector<double>>& freq,
const std::map<PairKey, std::vector<c128>>* background,
const MotionConfig& mot, const GeometryConfig& geom, const BPConfig& bp,
const PairTimestamps& ts, bool normalize) {
AScanSet out;
out.pairs = geom.pair_keys();
out.n_pairs = (int)out.pairs.size();
std::vector<std::vector<c128>> Hs;
std::vector<std::vector<double>> Ts;
for (auto& key : out.pairs) {
auto its = s21.find(key);
if (its == s21.end()) throw std::runtime_error("preprocess: нет пары в s21");
std::vector<c128> s = its->second; // копия
if (background) {
auto ib = background->find(key);
if (ib != background->end())
for (size_t i = 0; i < s.size(); ++i) s[i] -= ib->second[i];
}
const std::vector<double>& fr = freq.at(key);
auto itt = ts.find(key);
if (itt != ts.end())
s = apply_intra_sweep_phase_correction(s, fr, itt->second, mot, geom.v,
bp.f_start, bp.f_stop);
std::vector<double> t;
std::vector<c128> h;
compute_ascan_bp(s, fr, bp.f_start, bp.f_stop, bp.window, bp.oversample, t, h);
Hs.push_back(std::move(h));
Ts.push_back(std::move(t));
}
// общая ось времени — проверка
int n_fft = (int)Ts[0].size();
double t0 = Ts[0][0];
double dt = (Ts[0].back() - t0) / (n_fft - 1);
for (auto& t : Ts)
if ((int)t.size() != n_fft || std::abs(t[0] - t0) > 1e-18)
throw std::runtime_error("A-сканы: разная ось времени у пар");
if (normalize) {
for (int p = 0; p < out.n_pairs; ++p) {
double scale = pair_norm_scale(Hs[p], Ts[p], geom.v, bp);
for (auto& c : Hs[p]) c /= (scale + bp.pair_norm_eps);
}
}
out.n_fft = n_fft;
out.t0 = t0;
out.dt = dt;
out.H.resize((size_t)out.n_pairs * n_fft);
for (int p = 0; p < out.n_pairs; ++p)
std::copy(Hs[p].begin(), Hs[p].end(), out.H.begin() + (size_t)p * n_fft);
return out;
}
} // namespace gpr