FFT add simple median filter

This commit is contained in:
Daniel Agar 2020-10-27 00:59:16 -04:00
parent 4578b8cdcc
commit d14deb0e5a
6 changed files with 213 additions and 9 deletions

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@ -7,6 +7,8 @@ float32 dt # delta time between samples (microseconds)
float32 resolution_hz
float32[2] peak_frequency_x # x axis peak frequencies
float32[2] peak_frequency_y # y axis peak frequencies
float32[2] peak_frequency_z # z axis peak frequencies
float32[3] peak_frequency # peak frequency per axis
float32[4] peak_frequencies_x # x axis peak frequencies
float32[4] peak_frequencies_y # y axis peak frequencies
float32[4] peak_frequencies_z # z axis peak frequencies

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@ -137,8 +137,8 @@ static constexpr float tau(float x)
float GyroFFT::EstimatePeakFrequency(q15_t fft[FFT_LENGTH * 2], uint8_t peak_index)
{
// find peak location using Quinn's Second Estimator (2020-06-14: http://dspguru.com/dsp/howtos/how-to-interpolate-fft-peak/)
int16_t real[3] {fft[peak_index - 2], fft[peak_index], fft[peak_index + 2]};
int16_t imag[3] {fft[peak_index - 2 + 1], fft[peak_index + 1], fft[peak_index + 2 + 1]};
int16_t real[3] { fft[peak_index - 2], fft[peak_index], fft[peak_index + 2] };
int16_t imag[3] { fft[peak_index - 2 + 1], fft[peak_index + 1], fft[peak_index + 2 + 1] };
const int k = 1;
@ -255,7 +255,10 @@ void GyroFFT::Run()
static constexpr uint16_t MIN_SNR = 10; // TODO:
static constexpr int MAX_NUM_PEAKS = 2;
uint32_t max_peak_magnitude = 0;
uint8_t max_peak_index = 0;
static constexpr int MAX_NUM_PEAKS = 4;
uint32_t peaks_magnitude[MAX_NUM_PEAKS] {};
uint8_t peak_index[MAX_NUM_PEAKS] {};
@ -275,6 +278,12 @@ void GyroFFT::Run()
const uint32_t fft_magnitude_squared = real * real + complex * complex;
if (fft_magnitude_squared > MIN_SNR) {
if (fft_magnitude_squared > max_peak_magnitude) {
max_peak_magnitude = fft_magnitude_squared;
max_peak_index = bucket_index;
}
for (int i = 0; i < MAX_NUM_PEAKS; i++) {
if (fft_magnitude_squared > peaks_magnitude[i]) {
peaks_magnitude[i] = fft_magnitude_squared;
@ -287,20 +296,25 @@ void GyroFFT::Run()
}
}
if (max_peak_index > 0) {
_sensor_gyro_fft.peak_frequency[axis] = _median_filter[axis].apply(EstimatePeakFrequency(_fft_outupt_buffer,
max_peak_index));
}
if (publish) {
float *peak_frequencies;
switch (axis) {
case 0:
peak_frequencies = _sensor_gyro_fft.peak_frequency_x;
peak_frequencies = _sensor_gyro_fft.peak_frequencies_x;
break;
case 1:
peak_frequencies = _sensor_gyro_fft.peak_frequency_y;
peak_frequencies = _sensor_gyro_fft.peak_frequencies_y;
break;
case 2:
peak_frequencies = _sensor_gyro_fft.peak_frequency_z;
peak_frequencies = _sensor_gyro_fft.peak_frequencies_z;
break;
}

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@ -33,6 +33,7 @@
#pragma once
#include <lib/mathlib/math/filter/MedianFilter.hpp>
#include <lib/matrix/matrix/math.hpp>
#include <lib/perf/perf_counter.h>
#include <px4_platform_common/defines.h>
@ -111,6 +112,8 @@ private:
unsigned _gyro_last_generation{0};
math::MedianFilter<float, 3> _median_filter[3] {};
sensor_gyro_fft_s _sensor_gyro_fft{};
DEFINE_PARAMETERS(

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@ -38,5 +38,6 @@ px4_add_library(mathlib
math/filter/LowPassFilter2pVector3f.cpp
)
px4_add_unit_gtest(SRC math/filter/MedianFilterTest.cpp)
px4_add_unit_gtest(SRC math/filter/NotchFilterTest.cpp)
px4_add_unit_gtest(SRC math/FunctionsTest.cpp)

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@ -0,0 +1,91 @@
/****************************************************************************
*
* Copyright (C) 2020 PX4 Development Team. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
* 3. Neither the name PX4 nor the names of its contributors may be
* used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
****************************************************************************/
/*
* @file MedianFilter.hpp
*
* @brief Implementation of a median filter with C qsort.
*
*/
#pragma once
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
namespace math
{
template<typename T, int WINDOW = 3>
class MedianFilter
{
public:
static_assert(WINDOW >= 3, "MedianFilter window size must be >= 3");
static_assert(WINDOW % 2, "MedianFilter window size must be odd"); // odd
MedianFilter() = default;
void insert(const T &sample)
{
_head = (_head + 1) % WINDOW;
_buffer[_head] = sample;
}
T median()
{
T sorted[WINDOW];
memcpy(sorted, _buffer, sizeof(_buffer));
qsort(&sorted, WINDOW, sizeof(T), cmp);
return sorted[WINDOW / 2];
}
T apply(const T &sample)
{
insert(sample);
return median();
}
private:
static int cmp(const void *a, const void *b)
{
return (*(T *)a >= *(T *)b) ? 1 : -1;
}
T _buffer[WINDOW] {};
uint8_t _head{0};
};
} // namespace math

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@ -0,0 +1,93 @@
/****************************************************************************
*
* Copyright (C) 2020 PX4 Development Team. All rights reserved.
*
* Redistribution and use in source and binary forms, with or without
* modification, are permitted provided that the following conditions
* are met:
*
* 1. Redistributions of source code must retain the above copyright
* notice, this list of conditions and the following disclaimer.
* 2. Redistributions in binary form must reproduce the above copyright
* notice, this list of conditions and the following disclaimer in
* the documentation and/or other materials provided with the
* distribution.
* 3. Neither the name PX4 nor the names of its contributors may be
* used to endorse or promote products derived from this software
* without specific prior written permission.
*
* THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
* "AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT
* LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS
* FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE
* COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT,
* INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING,
* BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS
* OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED
* AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT
* LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN
* ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE
* POSSIBILITY OF SUCH DAMAGE.
*
****************************************************************************/
/**
* Test code for the Median filter
* Run this test only using make tests TESTFILTER=MedianFilter
*/
#include <gtest/gtest.h>
#include <matrix/matrix/math.hpp>
#include <mathlib/mathlib.h>
#include "MedianFilter.hpp"
using namespace math;
using matrix::Vector3f;
class MedianFilterTest : public ::testing::Test
{
public:
};
TEST_F(MedianFilterTest, test3f_simple)
{
MedianFilter<float, 3> median_filter3;
for (int i = 0; i < 3; i++) {
median_filter3.insert(i);
}
EXPECT_EQ(median_filter3.median(), 1); // 0, 1, 2
}
TEST_F(MedianFilterTest, test3f_100)
{
MedianFilter<float, 3> median_filter3;
for (int i = 0; i < 100; i++) {
EXPECT_EQ(median_filter3.apply(i), max(0, i - 1));
}
}
TEST_F(MedianFilterTest, test5u_simple)
{
MedianFilter<uint16_t, 5> median_filter5;
for (int i = 0; i < 5; i++) {
median_filter5.insert(i);
}
EXPECT_EQ(median_filter5.median(), 2); // 0, 1, 2, 4, 5
}
TEST_F(MedianFilterTest, test5i_100)
{
MedianFilter<uint16_t, 5> median_filter5;
for (int i = 0; i < 100; i++) {
EXPECT_EQ(median_filter5.apply(i), max(0, i - 2));
}
}