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https://gitee.com/mirrors_PX4/PX4-Autopilot.git
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afeab9587e
- when estimating the peak frequency the magnitude of side buckets will be factored in, so it doesn't make sense to potentially treat them as separatey detected peaks
742 lines
23 KiB
C++
742 lines
23 KiB
C++
/****************************************************************************
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*
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* Copyright (c) 2020-2022 PX4 Development Team. All rights reserved.
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*
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* Redistribution and use in source and binary forms, with or without
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* modification, are permitted provided that the following conditions
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* are met:
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*
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* 1. Redistributions of source code must retain the above copyright
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* notice, this list of conditions and the following disclaimer.
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* 2. Redistributions in binary form must reproduce the above copyright
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* notice, this list of conditions and the following disclaimer in
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* the documentation and/or other materials provided with the
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* distribution.
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* 3. Neither the name PX4 nor the names of its contributors may be
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* used to endorse or promote products derived from this software
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* without specific prior written permission.
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*
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* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
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* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
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* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
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* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
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* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
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* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
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* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
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* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
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* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
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* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
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* POSSIBILITY OF SUCH DAMAGE.
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*
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****************************************************************************/
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#include "GyroFFT.hpp"
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#include <drivers/drv_hrt.h>
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#include <mathlib/math/Limits.hpp>
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#include <mathlib/math/Functions.hpp>
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using namespace matrix;
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GyroFFT::GyroFFT() :
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ModuleParams(nullptr),
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ScheduledWorkItem(MODULE_NAME, px4::wq_configurations::hp_default)
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{
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for (int i = 0; i < MAX_NUM_PEAKS; i++) {
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_sensor_gyro_fft.peak_frequencies_x[i] = NAN;
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_sensor_gyro_fft.peak_frequencies_y[i] = NAN;
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_sensor_gyro_fft.peak_frequencies_z[i] = NAN;
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}
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_sensor_gyro_fft_pub.advertise();
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}
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GyroFFT::~GyroFFT()
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{
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perf_free(_cycle_perf);
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perf_free(_cycle_interval_perf);
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perf_free(_fft_perf);
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perf_free(_gyro_generation_gap_perf);
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perf_free(_gyro_fifo_generation_gap_perf);
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delete[] _gyro_data_buffer_x;
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delete[] _gyro_data_buffer_y;
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delete[] _gyro_data_buffer_z;
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delete[] _hanning_window;
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delete[] _fft_input_buffer;
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delete[] _fft_outupt_buffer;
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delete[] _peak_magnitudes_all;
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}
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bool GyroFFT::init()
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{
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bool buffers_allocated = false;
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// arm_rfft_init_q15(&_rfft_q15, _imu_gyro_fft_len, 0, 1) manually inlined to save flash
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_rfft_q15.pTwiddleAReal = (q15_t *) realCoefAQ15;
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_rfft_q15.pTwiddleBReal = (q15_t *) realCoefBQ15;
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_rfft_q15.ifftFlagR = 0;
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_rfft_q15.bitReverseFlagR = 1;
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switch (_param_imu_gyro_fft_len.get()) {
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// case 128:
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// buffers_allocated = AllocateBuffers<128>();
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// _rfft_q15.fftLenReal = 128;
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// _rfft_q15.twidCoefRModifier = 64U;
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// _rfft_q15.pCfft = &arm_cfft_sR_q15_len64;
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// break;
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case 256:
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buffers_allocated = AllocateBuffers<256>();
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_rfft_q15.fftLenReal = 256;
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_rfft_q15.twidCoefRModifier = 32U;
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_rfft_q15.pCfft = &arm_cfft_sR_q15_len128;
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break;
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case 512:
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buffers_allocated = AllocateBuffers<512>();
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_rfft_q15.fftLenReal = 512;
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_rfft_q15.twidCoefRModifier = 16U;
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_rfft_q15.pCfft = &arm_cfft_sR_q15_len256;
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break;
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case 1024:
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buffers_allocated = AllocateBuffers<1024>();
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_rfft_q15.fftLenReal = 1024;
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_rfft_q15.twidCoefRModifier = 8U;
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_rfft_q15.pCfft = &arm_cfft_sR_q15_len512;
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break;
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// case 2048:
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// buffers_allocated = AllocateBuffers<2048>();
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// _rfft_q15.fftLenReal = 2048;
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// _rfft_q15.twidCoefRModifier = 4U;
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// _rfft_q15.pCfft = &arm_cfft_sR_q15_len1024;
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// break;
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case 4096:
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buffers_allocated = AllocateBuffers<4096>();
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_rfft_q15.fftLenReal = 4096;
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_rfft_q15.twidCoefRModifier = 2U;
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_rfft_q15.pCfft = &arm_cfft_sR_q15_len2048;
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break;
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// case 8192:
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// buffers_allocated = AllocateBuffers<8192>();
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// _rfft_q15.fftLenReal = 8192;
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// _rfft_q15.twidCoefRModifier = 1U;
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// _rfft_q15.pCfft = &arm_cfft_sR_q15_len4096;
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// break;
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default:
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// otherwise default to 256
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PX4_ERR("Invalid IMU_GYRO_FFT_LEN=%" PRId32 ", resetting", _param_imu_gyro_fft_len.get());
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buffers_allocated = AllocateBuffers<256>();
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_param_imu_gyro_fft_len.set(256);
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_param_imu_gyro_fft_len.commit();
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break;
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}
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if (buffers_allocated) {
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_imu_gyro_fft_len = _param_imu_gyro_fft_len.get();
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// init Hanning window
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for (int n = 0; n < _imu_gyro_fft_len; n++) {
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const float hanning_value = 0.5f * (1.f - cosf(2.f * M_PI_F * n / (_imu_gyro_fft_len - 1)));
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arm_float_to_q15(&hanning_value, &_hanning_window[n], 1);
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}
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if (!SensorSelectionUpdate(true)) {
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ScheduleDelayed(500_ms);
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}
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return true;
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}
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PX4_ERR("failed to allocate buffers");
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delete[] _gyro_data_buffer_x;
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delete[] _gyro_data_buffer_y;
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delete[] _gyro_data_buffer_z;
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delete[] _hanning_window;
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delete[] _fft_input_buffer;
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delete[] _fft_outupt_buffer;
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return false;
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}
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bool GyroFFT::SensorSelectionUpdate(bool force)
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{
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if (_sensor_selection_sub.updated() || (_selected_sensor_device_id == 0) || force) {
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sensor_selection_s sensor_selection{};
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_sensor_selection_sub.copy(&sensor_selection);
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if ((sensor_selection.gyro_device_id != 0) && (_selected_sensor_device_id != sensor_selection.gyro_device_id)) {
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// prefer sensor_gyro_fifo if available
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for (uint8_t i = 0; i < MAX_SENSOR_COUNT; i++) {
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uORB::SubscriptionData<sensor_gyro_fifo_s> sensor_gyro_fifo_sub{ORB_ID(sensor_gyro_fifo), i};
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if (sensor_gyro_fifo_sub.get().device_id == sensor_selection.gyro_device_id) {
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if (_sensor_gyro_fifo_sub.ChangeInstance(i) && _sensor_gyro_fifo_sub.registerCallback()) {
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_sensor_gyro_sub.unregisterCallback();
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_sensor_gyro_fifo_sub.set_required_updates(sensor_gyro_fifo_s::ORB_QUEUE_LENGTH / 2);
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_selected_sensor_device_id = sensor_selection.gyro_device_id;
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_gyro_fifo = true;
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if (_gyro_fifo_generation_gap_perf == nullptr) {
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_gyro_fifo_generation_gap_perf = perf_alloc(PC_COUNT, MODULE_NAME": gyro FIFO data gap");
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}
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return true;
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}
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}
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}
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// otherwise use sensor_gyro
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for (uint8_t i = 0; i < MAX_SENSOR_COUNT; i++) {
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uORB::SubscriptionData<sensor_gyro_s> sensor_gyro_sub{ORB_ID(sensor_gyro), i};
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if (sensor_gyro_sub.get().device_id == sensor_selection.gyro_device_id) {
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if (_sensor_gyro_sub.ChangeInstance(i) && _sensor_gyro_sub.registerCallback()) {
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_sensor_gyro_fifo_sub.unregisterCallback();
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_sensor_gyro_sub.set_required_updates(sensor_gyro_s::ORB_QUEUE_LENGTH / 2);
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_selected_sensor_device_id = sensor_selection.gyro_device_id;
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_gyro_fifo = false;
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if (_gyro_generation_gap_perf == nullptr) {
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_gyro_generation_gap_perf = perf_alloc(PC_COUNT, MODULE_NAME": gyro data gap");
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}
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return true;
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}
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}
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}
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PX4_ERR("unable to find or subscribe to selected sensor (%" PRIu32 ")", sensor_selection.gyro_device_id);
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}
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}
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return false;
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}
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void GyroFFT::VehicleIMUStatusUpdate(bool force)
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{
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if (_vehicle_imu_status_sub.updated() || force) {
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vehicle_imu_status_s vehicle_imu_status;
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if (_vehicle_imu_status_sub.copy(&vehicle_imu_status)) {
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// find corresponding vehicle_imu_status instance if the device_id doesn't match
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if (vehicle_imu_status.gyro_device_id != _selected_sensor_device_id) {
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for (uint8_t imu_status = 0; imu_status < MAX_SENSOR_COUNT; imu_status++) {
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uORB::Subscription imu_status_sub{ORB_ID(vehicle_imu_status), imu_status};
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if (imu_status_sub.copy(&vehicle_imu_status)) {
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if (vehicle_imu_status.gyro_device_id == _selected_sensor_device_id) {
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_vehicle_imu_status_sub.ChangeInstance(imu_status);
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break;
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}
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}
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}
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}
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// update gyro sample rate
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if ((vehicle_imu_status.gyro_device_id == _selected_sensor_device_id) && (vehicle_imu_status.gyro_rate_hz > 0)) {
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if (_gyro_fifo) {
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_gyro_sample_rate_hz = vehicle_imu_status.gyro_raw_rate_hz;
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} else {
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_gyro_sample_rate_hz = vehicle_imu_status.gyro_rate_hz;
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}
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return;
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}
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}
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}
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}
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// helper function used for frequency estimation
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static inline float tau(float x)
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{
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// tau(x) = 1/4 * log(3x^2 + 6x + 1) – sqrt(6)/24 * log((x + 1 – sqrt(2/3)) / (x + 1 + sqrt(2/3)))
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float p1 = logf(3.f * powf(x, 2.f) + 6.f * x + 1.f);
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float part1 = x + 1.f - sqrtf(2.f / 3.f);
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float part2 = x + 1.f + sqrtf(2.f / 3.f);
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float p2 = logf(part1 / part2);
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return (0.25f * p1 - sqrtf(6.f) / 24.f * p2);
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}
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float GyroFFT::EstimatePeakFrequencyBin(q15_t fft[], int peak_index)
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{
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if (peak_index >= 2) {
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// find peak location using Quinn's Second Estimator (2020-06-14: http://dspguru.com/dsp/howtos/how-to-interpolate-fft-peak/)
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float real[3] { (float)fft[peak_index - 2], (float)fft[peak_index], (float)fft[peak_index + 2] };
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float imag[3] { (float)fft[peak_index - 2 + 1], (float)fft[peak_index + 1], (float)fft[peak_index + 2 + 1] };
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static constexpr int k = 1;
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const float divider = (real[k] * real[k] + imag[k] * imag[k]);
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// ap = (X[k + 1].r * X[k].r + X[k+1].i * X[k].i) / (X[k].r * X[k].r + X[k].i * X[k].i)
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float ap = (real[k + 1] * real[k] + imag[k + 1] * imag[k]) / divider;
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// dp = -ap / (1 – ap)
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float dp = -ap / (1.f - ap);
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// am = (X[k - 1].r * X[k].r + X[k – 1].i * X[k].i) / (X[k].r * X[k].r + X[k].i * X[k].i)
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float am = (real[k - 1] * real[k] + imag[k - 1] * imag[k]) / divider;
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// dm = am / (1 – am)
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float dm = am / (1.f - am);
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// d = (dp + dm) / 2 + tau(dp * dp) – tau(dm * dm)
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float d = (dp + dm) / 2.f + tau(dp * dp) - tau(dm * dm);
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// k’ = k + d
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return peak_index + 2.f * d;
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}
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return NAN;
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}
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void GyroFFT::Run()
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{
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if (should_exit()) {
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_sensor_gyro_sub.unregisterCallback();
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_sensor_gyro_fifo_sub.unregisterCallback();
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exit_and_cleanup();
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return;
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}
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// backup schedule
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ScheduleDelayed(500_ms);
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perf_begin(_cycle_perf);
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perf_count(_cycle_interval_perf);
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// Check if parameters have changed
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if (_parameter_update_sub.updated()) {
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// clear update
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parameter_update_s param_update;
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_parameter_update_sub.copy(¶m_update);
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updateParams();
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}
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const bool selection_updated = SensorSelectionUpdate();
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VehicleIMUStatusUpdate(selection_updated);
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// reset
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_fft_updated = false;
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if (_gyro_fifo) {
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// run on sensor gyro fifo updates
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sensor_gyro_fifo_s sensor_gyro_fifo;
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while (_sensor_gyro_fifo_sub.update(&sensor_gyro_fifo)) {
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if (_sensor_gyro_fifo_sub.get_last_generation() != _gyro_last_generation + 1) {
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// force reset if we've missed a sample
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_fft_buffer_index[0] = 0;
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_fft_buffer_index[1] = 0;
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_fft_buffer_index[2] = 0;
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perf_count(_gyro_fifo_generation_gap_perf);
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}
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_gyro_last_generation = _sensor_gyro_fifo_sub.get_last_generation();
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if (fabsf(sensor_gyro_fifo.scale - _fifo_last_scale) > FLT_EPSILON) {
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// force reset if scale has changed
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_fft_buffer_index[0] = 0;
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_fft_buffer_index[1] = 0;
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_fft_buffer_index[2] = 0;
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_fifo_last_scale = sensor_gyro_fifo.scale;
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}
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int16_t *input[] {sensor_gyro_fifo.x, sensor_gyro_fifo.y, sensor_gyro_fifo.z};
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Update(sensor_gyro_fifo.timestamp_sample, input, sensor_gyro_fifo.samples);
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}
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} else {
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// run on sensor gyro fifo updates
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sensor_gyro_s sensor_gyro;
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while (_sensor_gyro_sub.update(&sensor_gyro)) {
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if (_sensor_gyro_sub.get_last_generation() != _gyro_last_generation + 1) {
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// force reset if we've missed a sample
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_fft_buffer_index[0] = 0;
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_fft_buffer_index[1] = 0;
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_fft_buffer_index[2] = 0;
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perf_count(_gyro_generation_gap_perf);
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}
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_gyro_last_generation = _sensor_gyro_sub.get_last_generation();
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const float gyro_scale = math::radians(1000.f); // arbitrary scaling float32 rad/s -> raw int16
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int16_t gyro_x[1] {(int16_t)roundf(sensor_gyro.x * gyro_scale)};
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int16_t gyro_y[1] {(int16_t)roundf(sensor_gyro.y * gyro_scale)};
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int16_t gyro_z[1] {(int16_t)roundf(sensor_gyro.z * gyro_scale)};
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int16_t *input[] {gyro_x, gyro_y, gyro_z};
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Update(sensor_gyro.timestamp_sample, input, 1);
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}
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}
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|
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if (_publish) {
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Publish();
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_publish = false;
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}
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|
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perf_end(_cycle_perf);
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}
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|
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void GyroFFT::Update(const hrt_abstime ×tamp_sample, int16_t *input[], uint8_t N)
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{
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q15_t *gyro_data_buffer[] {_gyro_data_buffer_x, _gyro_data_buffer_y, _gyro_data_buffer_z};
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for (int axis = 0; axis < 3; axis++) {
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int &buffer_index = _fft_buffer_index[axis];
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for (int n = 0; n < N; n++) {
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if (buffer_index < _imu_gyro_fft_len) {
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// convert int16_t -> q15_t (scaling isn't relevant)
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gyro_data_buffer[axis][buffer_index] = input[axis][n] / 2;
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buffer_index++;
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}
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// if we have enough samples begin processing, but only one FFT per cycle
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if ((buffer_index >= _imu_gyro_fft_len) && !_fft_updated) {
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perf_begin(_fft_perf);
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arm_mult_q15(gyro_data_buffer[axis], _hanning_window, _fft_input_buffer, _imu_gyro_fft_len);
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arm_rfft_q15(&_rfft_q15, _fft_input_buffer, _fft_outupt_buffer);
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_fft_updated = true;
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FindPeaks(timestamp_sample, axis, _fft_outupt_buffer);
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|
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// reset
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// shift buffer (3/4 overlap)
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const int overlap_start = _imu_gyro_fft_len / 4;
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memmove(&gyro_data_buffer[axis][0], &gyro_data_buffer[axis][overlap_start], sizeof(q15_t) * overlap_start * 3);
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buffer_index = overlap_start * 3;
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perf_end(_fft_perf);
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}
|
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}
|
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}
|
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}
|
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|
||
void GyroFFT::FindPeaks(const hrt_abstime ×tamp_sample, int axis, q15_t *fft_outupt_buffer)
|
||
{
|
||
const float resolution_hz = _gyro_sample_rate_hz / _imu_gyro_fft_len;
|
||
|
||
// sum total energy across all used buckets for SNR
|
||
float bin_mag_sum = 0;
|
||
|
||
// FFT output buffer is ordered [real[0], imag[0], real[1], imag[1], real[2], imag[2] ... real[(N/2)-1], imag[(N/2)-1]
|
||
for (uint16_t fft_index = 2; fft_index < _imu_gyro_fft_len; fft_index += 2) {
|
||
|
||
const float real = fft_outupt_buffer[fft_index];
|
||
const float imag = fft_outupt_buffer[fft_index + 1];
|
||
|
||
const float fft_magnitude = sqrtf(real * real + imag * imag);
|
||
|
||
int bin_index = fft_index / 2;
|
||
|
||
_peak_magnitudes_all[bin_index] = fft_magnitude;
|
||
bin_mag_sum += fft_magnitude;
|
||
}
|
||
|
||
|
||
// find raw peaks
|
||
uint16_t raw_peak_index[MAX_NUM_PEAKS] {};
|
||
float peak_magnitude[MAX_NUM_PEAKS] {};
|
||
|
||
for (int i = 0; i < MAX_NUM_PEAKS; i++) {
|
||
|
||
float largest_peak = 0;
|
||
int largest_peak_index = 0;
|
||
|
||
for (int bin_index = 1; bin_index < _imu_gyro_fft_len; bin_index++) {
|
||
|
||
const float freq_hz = bin_index * resolution_hz;
|
||
|
||
if ((_peak_magnitudes_all[bin_index] > largest_peak)
|
||
&& (freq_hz >= _param_imu_gyro_fft_min.get())
|
||
&& (freq_hz <= _param_imu_gyro_fft_max.get())) {
|
||
|
||
largest_peak = _peak_magnitudes_all[bin_index];
|
||
largest_peak_index = bin_index;
|
||
}
|
||
}
|
||
|
||
if (largest_peak_index > 1) {
|
||
raw_peak_index[i] = largest_peak_index;
|
||
peak_magnitude[i] = _peak_magnitudes_all[largest_peak_index];
|
||
|
||
// remove peak + sides (included in frequency estimate later)
|
||
_peak_magnitudes_all[largest_peak_index - 1] = 0;
|
||
_peak_magnitudes_all[largest_peak_index] = 0;
|
||
_peak_magnitudes_all[largest_peak_index + 1] = 0;
|
||
}
|
||
}
|
||
|
||
// keep if peak has been previously seen and SNR > MIN_SNR
|
||
// or
|
||
// peak has SNR > MIN_SNR_INITIAL
|
||
static constexpr float MIN_SNR = 1.f; // TODO: configurable?
|
||
|
||
int num_peaks_found = 0;
|
||
float peak_frequencies[MAX_NUM_PEAKS] {};
|
||
float peak_snr[MAX_NUM_PEAKS] {};
|
||
|
||
float *peak_frequencies_publish[] { _sensor_gyro_fft.peak_frequencies_x, _sensor_gyro_fft.peak_frequencies_y, _sensor_gyro_fft.peak_frequencies_z };
|
||
|
||
float peak_frequencies_prev[MAX_NUM_PEAKS];
|
||
|
||
for (int i = 0; i < MAX_NUM_PEAKS; i++) {
|
||
peak_frequencies_prev[i] = peak_frequencies_publish[axis][i];
|
||
}
|
||
|
||
for (int peak_new = 0; peak_new < MAX_NUM_PEAKS; peak_new++) {
|
||
if (raw_peak_index[peak_new] > 0) {
|
||
|
||
const float adjusted_bin = 0.5f * EstimatePeakFrequencyBin(fft_outupt_buffer, 2 * raw_peak_index[peak_new]);
|
||
|
||
if (PX4_ISFINITE(adjusted_bin)) {
|
||
const float freq_adjusted = resolution_hz * adjusted_bin;
|
||
|
||
const float snr = 10.f * log10f((_imu_gyro_fft_len - 1) * peak_magnitude[peak_new] /
|
||
(bin_mag_sum - peak_magnitude[peak_new]));
|
||
|
||
if (PX4_ISFINITE(freq_adjusted)
|
||
&& (snr > MIN_SNR)
|
||
&& (freq_adjusted >= _param_imu_gyro_fft_min.get())
|
||
&& (freq_adjusted <= _param_imu_gyro_fft_max.get())) {
|
||
|
||
// only keep if we're already tracking this frequency or if the SNR is significant
|
||
for (int peak_prev = 0; peak_prev < MAX_NUM_PEAKS; peak_prev++) {
|
||
bool snr_acceptable = (snr > _param_imu_gyro_fft_snr.get());
|
||
bool peak_close = (fabsf(freq_adjusted - peak_frequencies_prev[peak_prev]) < (resolution_hz * 0.25f));
|
||
|
||
if (snr_acceptable || peak_close) {
|
||
// keep
|
||
peak_frequencies[num_peaks_found] = freq_adjusted;
|
||
peak_snr[num_peaks_found] = snr;
|
||
|
||
// remove
|
||
if (peak_close) {
|
||
peak_frequencies_prev[peak_prev] = NAN;
|
||
}
|
||
|
||
num_peaks_found++;
|
||
break;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
if (num_peaks_found > 0) {
|
||
UpdateOutput(timestamp_sample, axis, peak_frequencies, peak_snr, num_peaks_found);
|
||
}
|
||
}
|
||
|
||
void GyroFFT::UpdateOutput(const hrt_abstime ×tamp_sample, int axis, float peak_frequencies[MAX_NUM_PEAKS],
|
||
float peak_snr[MAX_NUM_PEAKS], int num_peaks_found)
|
||
{
|
||
float *peak_frequencies_publish[] { _sensor_gyro_fft.peak_frequencies_x, _sensor_gyro_fft.peak_frequencies_y, _sensor_gyro_fft.peak_frequencies_z };
|
||
float *peak_snr_publish[] { _sensor_gyro_fft.peak_snr_x, _sensor_gyro_fft.peak_snr_y, _sensor_gyro_fft.peak_snr_z };
|
||
|
||
// new peak: r, old peak: c
|
||
float peak_frequencies_diff[MAX_NUM_PEAKS][MAX_NUM_PEAKS];
|
||
|
||
for (int peak_new = 0; peak_new < MAX_NUM_PEAKS; peak_new++) {
|
||
// compute distance to previous peaks
|
||
for (int peak_prev = 0; peak_prev < MAX_NUM_PEAKS; peak_prev++) {
|
||
if ((peak_frequencies[peak_new] > 0)
|
||
&& (peak_frequencies_publish[axis][peak_prev] > 0) && PX4_ISFINITE(peak_frequencies_publish[axis][peak_prev])
|
||
) {
|
||
peak_frequencies_diff[peak_new][peak_prev] = fabsf(peak_frequencies[peak_new] -
|
||
peak_frequencies_publish[axis][peak_prev]);
|
||
|
||
} else {
|
||
peak_frequencies_diff[peak_new][peak_prev] = INFINITY;
|
||
}
|
||
}
|
||
}
|
||
|
||
// go through peak_frequencies_diff and find smallest diff (closest peaks)
|
||
// - copy new peak to old peak slot
|
||
// - exclude new peak (row) and old peak (column) in search
|
||
// - repeat
|
||
//
|
||
// - finally copy unmatched peaks to empty slots
|
||
bool peak_new_copied[MAX_NUM_PEAKS] {};
|
||
bool peak_out_filled[MAX_NUM_PEAKS] {};
|
||
int peaks_copied = 0;
|
||
|
||
for (int new_peak = 0; new_peak < num_peaks_found; new_peak++) {
|
||
|
||
float smallest_diff = INFINITY;
|
||
int closest_new_peak = -1;
|
||
int closest_prev_peak = -1;
|
||
|
||
// find new peak with smallest difference to old peak
|
||
for (int peak_new = 0; peak_new < num_peaks_found; peak_new++) {
|
||
for (int peak_prev = 0; peak_prev < MAX_NUM_PEAKS; peak_prev++) {
|
||
if (!peak_new_copied[peak_new] && !peak_out_filled[peak_prev]
|
||
&& (peak_frequencies_diff[peak_new][peak_prev] < smallest_diff)) {
|
||
|
||
smallest_diff = peak_frequencies_diff[peak_new][peak_prev];
|
||
closest_new_peak = peak_new;
|
||
closest_prev_peak = peak_prev;
|
||
}
|
||
}
|
||
}
|
||
|
||
if (PX4_ISFINITE(smallest_diff) && (smallest_diff > 0)) {
|
||
// smallest diff found, copy newly found peak into same slot previously published
|
||
float peak_frequency = _median_filter[axis][closest_prev_peak].apply(peak_frequencies[closest_new_peak]);
|
||
|
||
if (peak_frequency > 0) {
|
||
peak_frequencies_publish[axis][closest_prev_peak] = peak_frequency;
|
||
peak_snr_publish[axis][closest_prev_peak] = peak_snr[closest_new_peak];
|
||
peaks_copied++;
|
||
|
||
_last_update[axis][closest_prev_peak] = timestamp_sample;
|
||
_sensor_gyro_fft.timestamp_sample = timestamp_sample;
|
||
_publish = true;
|
||
|
||
// clear
|
||
peak_frequencies[closest_new_peak] = NAN;
|
||
peak_frequencies_diff[closest_new_peak][closest_prev_peak] = NAN;
|
||
peak_new_copied[closest_new_peak] = true;
|
||
peak_out_filled[closest_prev_peak] = true;
|
||
|
||
if (peaks_copied == num_peaks_found) {
|
||
break;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
// clear any stale entries
|
||
for (int peak_out = 0; peak_out < MAX_NUM_PEAKS; peak_out++) {
|
||
if (timestamp_sample - _last_update[axis][peak_out] > 100_ms) {
|
||
peak_frequencies_publish[axis][peak_out] = NAN;
|
||
peak_snr_publish[axis][peak_out] = NAN;
|
||
|
||
_last_update[axis][peak_out] = 0;
|
||
}
|
||
}
|
||
|
||
// copy any remaining new (unmatched) peaks to overwrite old or empty slots
|
||
if (peaks_copied != num_peaks_found) {
|
||
for (int peak_new = 0; peak_new < num_peaks_found; peak_new++) {
|
||
if (PX4_ISFINITE(peak_frequencies[peak_new]) && (peak_frequencies[peak_new] > 0)) {
|
||
int oldest_slot = -1;
|
||
hrt_abstime oldest = timestamp_sample;
|
||
|
||
// find oldest slot and replace with new peak frequency
|
||
for (int peak_prev = 0; peak_prev < MAX_NUM_PEAKS; peak_prev++) {
|
||
if (_last_update[axis][peak_prev] < oldest) {
|
||
oldest_slot = peak_prev;
|
||
oldest = _last_update[axis][peak_prev];
|
||
}
|
||
}
|
||
|
||
if (oldest_slot >= 0) {
|
||
// copy peak to output slot
|
||
float peak_frequency = _median_filter[axis][oldest_slot].apply(peak_frequencies[peak_new]);
|
||
|
||
if (peak_frequency > 0) {
|
||
peak_frequencies_publish[axis][oldest_slot] = peak_frequency;
|
||
peak_snr_publish[axis][oldest_slot] = peak_snr[peak_new];
|
||
|
||
_last_update[axis][oldest_slot] = timestamp_sample;
|
||
_sensor_gyro_fft.timestamp_sample = timestamp_sample;
|
||
_publish = true;
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
}
|
||
|
||
void GyroFFT::Publish()
|
||
{
|
||
_sensor_gyro_fft.device_id = _selected_sensor_device_id;
|
||
_sensor_gyro_fft.sensor_sample_rate_hz = _gyro_sample_rate_hz;
|
||
_sensor_gyro_fft.resolution_hz = _gyro_sample_rate_hz / _imu_gyro_fft_len;
|
||
_sensor_gyro_fft.timestamp = hrt_absolute_time();
|
||
_sensor_gyro_fft_pub.publish(_sensor_gyro_fft);
|
||
}
|
||
|
||
int GyroFFT::task_spawn(int argc, char *argv[])
|
||
{
|
||
GyroFFT *instance = new GyroFFT();
|
||
|
||
if (instance) {
|
||
_object.store(instance);
|
||
_task_id = task_id_is_work_queue;
|
||
|
||
if (instance->init()) {
|
||
return PX4_OK;
|
||
}
|
||
|
||
} else {
|
||
PX4_ERR("alloc failed");
|
||
}
|
||
|
||
delete instance;
|
||
_object.store(nullptr);
|
||
_task_id = -1;
|
||
|
||
return PX4_ERROR;
|
||
}
|
||
|
||
int GyroFFT::print_status()
|
||
{
|
||
PX4_INFO("gyro sample rate: %.3f Hz", (double)_gyro_sample_rate_hz);
|
||
perf_print_counter(_cycle_perf);
|
||
perf_print_counter(_cycle_interval_perf);
|
||
perf_print_counter(_fft_perf);
|
||
perf_print_counter(_gyro_generation_gap_perf);
|
||
perf_print_counter(_gyro_fifo_generation_gap_perf);
|
||
return 0;
|
||
}
|
||
|
||
int GyroFFT::custom_command(int argc, char *argv[])
|
||
{
|
||
return print_usage("unknown command");
|
||
}
|
||
|
||
int GyroFFT::print_usage(const char *reason)
|
||
{
|
||
if (reason) {
|
||
PX4_WARN("%s\n", reason);
|
||
}
|
||
|
||
PRINT_MODULE_DESCRIPTION(
|
||
R"DESCR_STR(
|
||
### Description
|
||
|
||
)DESCR_STR");
|
||
|
||
PRINT_MODULE_USAGE_NAME("gyro_fft", "system");
|
||
PRINT_MODULE_USAGE_COMMAND("start");
|
||
PRINT_MODULE_USAGE_DEFAULT_COMMANDS();
|
||
|
||
return 0;
|
||
}
|
||
|
||
extern "C" __EXPORT int gyro_fft_main(int argc, char *argv[])
|
||
{
|
||
return GyroFFT::main(argc, argv);
|
||
}
|