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move ecl L1, TECS, and data validator to PX4/Firmware
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/****************************************************************************
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*
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* Copyright (c) 2015-2020 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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/**
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* @file DataValidator.cpp
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*
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* A data validation class to identify anomalies in data streams
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*
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* @author Lorenz Meier <lorenz@px4.io>
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*/
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#include "DataValidator.hpp"
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#include <px4_platform_common/log.h>
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void DataValidator::put(uint64_t timestamp, float val, uint64_t error_count_in, int priority_in)
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{
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float data[dimensions] = {val}; // sets the first value and all others to 0
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put(timestamp, data, error_count_in, priority_in);
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}
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void DataValidator::put(uint64_t timestamp, const float val[dimensions], uint64_t error_count_in, int priority_in)
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{
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_event_count++;
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if (error_count_in > _error_count) {
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_error_density += (error_count_in - _error_count);
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} else if (_error_density > 0) {
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_error_density--;
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}
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_error_count = error_count_in;
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_priority = priority_in;
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for (unsigned i = 0; i < dimensions; i++) {
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if (_time_last == 0) {
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_mean[i] = 0;
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_lp[i] = val[i];
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_M2[i] = 0;
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} else {
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float lp_val = val[i] - _lp[i];
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float delta_val = lp_val - _mean[i];
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_mean[i] += delta_val / _event_count;
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_M2[i] += delta_val * (lp_val - _mean[i]);
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_rms[i] = sqrtf(_M2[i] / (_event_count - 1));
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if (fabsf(_value[i] - val[i]) < 0.000001f) {
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_value_equal_count++;
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} else {
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_value_equal_count = 0;
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}
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}
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// XXX replace with better filter, make it auto-tune to update rate
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_lp[i] = _lp[i] * 0.99f + 0.01f * val[i];
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_value[i] = val[i];
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}
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_time_last = timestamp;
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}
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float DataValidator::confidence(uint64_t timestamp)
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{
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float ret = 1.0f;
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/* check if we have any data */
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if (_time_last == 0) {
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_error_mask |= ERROR_FLAG_NO_DATA;
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ret = 0.0f;
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} else if (timestamp - _time_last > _timeout_interval) {
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/* timed out - that's it */
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_error_mask |= ERROR_FLAG_TIMEOUT;
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ret = 0.0f;
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} else if (_value_equal_count > _value_equal_count_threshold) {
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/* we got the exact same sensor value N times in a row */
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_error_mask |= ERROR_FLAG_STALE_DATA;
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ret = 0.0f;
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} else if (_error_count > NORETURN_ERRCOUNT) {
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/* check error count limit */
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_error_mask |= ERROR_FLAG_HIGH_ERRCOUNT;
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ret = 0.0f;
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} else if (_error_density > ERROR_DENSITY_WINDOW) {
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/* cap error density counter at window size */
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_error_mask |= ERROR_FLAG_HIGH_ERRDENSITY;
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_error_density = ERROR_DENSITY_WINDOW;
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}
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/* no critical errors */
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if (ret > 0.0f) {
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/* return local error density for last N measurements */
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ret = 1.0f - (_error_density / ERROR_DENSITY_WINDOW);
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if (ret > 0.0f) {
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_error_mask = ERROR_FLAG_NO_ERROR;
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}
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}
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return ret;
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}
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void DataValidator::print()
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{
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if (_time_last == 0) {
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PX4_INFO("\tno data");
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return;
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}
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for (unsigned i = 0; i < dimensions; i++) {
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PX4_INFO("\tval: %8.4f, lp: %8.4f mean dev: %8.4f RMS: %8.4f conf: %8.4f", (double)_value[i],
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(double)_lp[i], (double)_mean[i], (double)_rms[i], (double)confidence(hrt_absolute_time()));
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}
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}
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