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ekf2: add mag fusion timestamps
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@@ -420,6 +420,8 @@ private:
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uint64_t _time_last_zero_velocity_fuse{0}; ///< last time of zero velocity update (uSec)
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uint64_t _time_last_zero_velocity_fuse{0}; ///< last time of zero velocity update (uSec)
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uint64_t _time_last_gps_yaw_fuse{0}; ///< time the last fusion of GPS yaw measurements were performed (uSec)
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uint64_t _time_last_gps_yaw_fuse{0}; ///< time the last fusion of GPS yaw measurements were performed (uSec)
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uint64_t _time_last_gps_yaw_data{0}; ///< time the last GPS yaw measurement was available (uSec)
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uint64_t _time_last_gps_yaw_data{0}; ///< time the last GPS yaw measurement was available (uSec)
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uint64_t _time_last_mag_heading_fuse{0};
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uint64_t _time_last_mag_3d_fuse{0};
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uint64_t _time_last_healthy_rng_data{0};
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uint64_t _time_last_healthy_rng_data{0};
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uint8_t _nb_gps_yaw_reset_available{0}; ///< remaining number of resets allowed before switching to another aiding source
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uint8_t _nb_gps_yaw_reset_available{0}; ///< remaining number of resets allowed before switching to another aiding source
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@@ -605,9 +607,9 @@ private:
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void predictCovariance();
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void predictCovariance();
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// ekf sequential fusion of magnetometer measurements
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// ekf sequential fusion of magnetometer measurements
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void fuseMag(const Vector3f &mag);
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bool fuseMag(const Vector3f &mag, bool update_all_states = true);
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// update quaternion states and covariances using a yaw innovation and yaw observation variance
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// update quaternion states and covariances using an innovation, observation variance and Jacobian vector
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// innovation : prediction - measurement
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// innovation : prediction - measurement
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// variance : observaton variance
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// variance : observaton variance
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bool fuseYaw(const float innovation, const float variance);
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bool fuseYaw(const float innovation, const float variance);
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@@ -621,7 +623,7 @@ private:
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// fuse magnetometer declination measurement
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// fuse magnetometer declination measurement
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// argument passed in is the declination uncertainty in radians
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// argument passed in is the declination uncertainty in radians
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void fuseDeclination(float decl_sigma);
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bool fuseDeclination(float decl_sigma);
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// apply sensible limits to the declination and length of the NE mag field states estimates
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// apply sensible limits to the declination and length of the NE mag field states estimates
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void limitDeclination();
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void limitDeclination();
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@@ -1035,7 +1037,7 @@ private:
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// yaw : Euler yaw angle (rad)
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// yaw : Euler yaw angle (rad)
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// yaw_variance : yaw error variance (rad^2)
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// yaw_variance : yaw error variance (rad^2)
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// update_buffer : true if the state change should be also applied to the output observer buffer
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// update_buffer : true if the state change should be also applied to the output observer buffer
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void resetQuatStateYaw(float yaw, float yaw_variance, bool update_buffer);
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void resetQuatStateYaw(float yaw, float yaw_variance, bool update_buffer = true);
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// Declarations used to control use of the EKF-GSF yaw estimator
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// Declarations used to control use of the EKF-GSF yaw estimator
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@@ -345,12 +345,19 @@ void Ekf::runMagAndMagDeclFusions(const Vector3f &mag)
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float innovation = wrap_pi(getEulerYaw(_R_to_earth) - measured_hdg);
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float innovation = wrap_pi(getEulerYaw(_R_to_earth) - measured_hdg);
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float obs_var = fmaxf(sq(_params.mag_heading_noise), 1.e-4f);
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float obs_var = fmaxf(sq(_params.mag_heading_noise), 1.e-4f);
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fuseYaw(innovation, obs_var);
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if (fuseYaw(innovation, obs_var)) {
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_time_last_mag_heading_fuse = _time_last_imu;
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}
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}
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}
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}
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}
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void Ekf::run3DMagAndDeclFusions(const Vector3f &mag)
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void Ekf::run3DMagAndDeclFusions(const Vector3f &mag)
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{
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{
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// For the first few seconds after in-flight alignment we allow the magnetic field state estimates to stabilise
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// before they are used to constrain heading drift
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const bool update_all_states = ((_imu_sample_delayed.time_us - _flt_mag_align_start_time) > (uint64_t)5e6);
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if (!_mag_decl_cov_reset) {
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if (!_mag_decl_cov_reset) {
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// After any magnetic field covariance reset event the earth field state
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// After any magnetic field covariance reset event the earth field state
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// covariances need to be corrected to incorporate knowledge of the declination
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// covariances need to be corrected to incorporate knowledge of the declination
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@@ -358,13 +365,13 @@ void Ekf::run3DMagAndDeclFusions(const Vector3f &mag)
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// states for the first few observations.
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// states for the first few observations.
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fuseDeclination(0.02f);
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fuseDeclination(0.02f);
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_mag_decl_cov_reset = true;
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_mag_decl_cov_reset = true;
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fuseMag(mag);
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fuseMag(mag, update_all_states);
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} else {
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} else {
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// The normal sequence is to fuse the magnetometer data first before fusing
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// The normal sequence is to fuse the magnetometer data first before fusing
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// declination angle at a higher uncertainty to allow some learning of
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// declination angle at a higher uncertainty to allow some learning of
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// declination angle over time.
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// declination angle over time.
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fuseMag(mag);
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fuseMag(mag, update_all_states);
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if (_control_status.flags.mag_dec) {
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if (_control_status.flags.mag_dec) {
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fuseDeclination(0.5f);
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fuseDeclination(0.5f);
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@@ -45,7 +45,7 @@
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#include <mathlib/mathlib.h>
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#include <mathlib/mathlib.h>
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void Ekf::fuseMag(const Vector3f &mag)
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bool Ekf::fuseMag(const Vector3f &mag, bool update_all_states)
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{
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{
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// assign intermediate variables
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// assign intermediate variables
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const float q0 = _state.quat_nominal(0);
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const float q0 = _state.quat_nominal(0);
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@@ -96,7 +96,7 @@ void Ekf::fuseMag(const Vector3f &mag)
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// we need to re-initialise covariances and abort this fusion step
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// we need to re-initialise covariances and abort this fusion step
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resetMagRelatedCovariances();
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resetMagRelatedCovariances();
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ECL_ERR("magX %s", numerical_error_covariance_reset_string);
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ECL_ERR("magX %s", numerical_error_covariance_reset_string);
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return;
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return false;
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}
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}
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_fault_status.flags.bad_mag_x = false;
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_fault_status.flags.bad_mag_x = false;
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@@ -138,7 +138,7 @@ void Ekf::fuseMag(const Vector3f &mag)
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// we need to re-initialise covariances and abort this fusion step
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// we need to re-initialise covariances and abort this fusion step
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resetMagRelatedCovariances();
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resetMagRelatedCovariances();
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ECL_ERR("magY %s", numerical_error_covariance_reset_string);
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ECL_ERR("magY %s", numerical_error_covariance_reset_string);
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return;
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return false;
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}
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}
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_fault_status.flags.bad_mag_y = false;
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_fault_status.flags.bad_mag_y = false;
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@@ -150,7 +150,7 @@ void Ekf::fuseMag(const Vector3f &mag)
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// we need to re-initialise covariances and abort this fusion step
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// we need to re-initialise covariances and abort this fusion step
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resetMagRelatedCovariances();
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resetMagRelatedCovariances();
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ECL_ERR("magZ %s", numerical_error_covariance_reset_string);
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ECL_ERR("magZ %s", numerical_error_covariance_reset_string);
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return;
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return false;
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}
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}
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_fault_status.flags.bad_mag_z = false;
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_fault_status.flags.bad_mag_z = false;
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@@ -174,20 +174,24 @@ void Ekf::fuseMag(const Vector3f &mag)
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for (uint8_t index = 0; index <= 2; index++) {
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for (uint8_t index = 0; index <= 2; index++) {
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_mag_test_ratio(index) = sq(_mag_innov(index)) / (sq(math::max(_params.mag_innov_gate, 1.0f)) * _mag_innov_var(index));
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_mag_test_ratio(index) = sq(_mag_innov(index)) / (sq(math::max(_params.mag_innov_gate, 1.0f)) * _mag_innov_var(index));
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const bool innov_check_fail = (_mag_test_ratio(index) > 1.0f);
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bool rejected = (_mag_test_ratio(index) > 1.f);
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if (innov_check_fail) {
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switch (index) {
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all_innovation_checks_passed = false;
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case 0:
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_innov_check_fail_status.flags.reject_mag_x = rejected;
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break;
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case 1:
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_innov_check_fail_status.flags.reject_mag_y = rejected;
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break;
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case 2:
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_innov_check_fail_status.flags.reject_mag_z = rejected;
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break;
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}
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}
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if (index == 0) {
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if (rejected) {
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_innov_check_fail_status.flags.reject_mag_x = innov_check_fail;
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all_innovation_checks_passed = false;
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} else if (index == 1) {
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_innov_check_fail_status.flags.reject_mag_y = innov_check_fail;
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} else {
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_innov_check_fail_status.flags.reject_mag_z = innov_check_fail;
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}
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}
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}
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}
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@@ -196,13 +200,9 @@ void Ekf::fuseMag(const Vector3f &mag)
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// if any axis fails, abort the mag fusion
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// if any axis fails, abort the mag fusion
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if (!all_innovation_checks_passed) {
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if (!all_innovation_checks_passed) {
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return;
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return false;
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}
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}
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// For the first few seconds after in-flight alignment we allow the magnetic field state estimates to stabilise
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// before they are used to constrain heading drift
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const bool update_all_states = ((_imu_sample_delayed.time_us - _flt_mag_align_start_time) > (uint64_t)5e6);
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// Observation jacobian and Kalman gain vectors
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// Observation jacobian and Kalman gain vectors
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SparseVector24f<0,1,2,3,16,17,18,19,20,21> Hfusion;
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SparseVector24f<0,1,2,3,16,17,18,19,20,21> Hfusion;
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Vector24f Kfusion;
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Vector24f Kfusion;
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@@ -284,7 +284,7 @@ void Ekf::fuseMag(const Vector3f &mag)
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// we need to re-initialise covariances and abort this fusion step
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// we need to re-initialise covariances and abort this fusion step
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resetMagRelatedCovariances();
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resetMagRelatedCovariances();
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ECL_ERR("magY %s", numerical_error_covariance_reset_string);
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ECL_ERR("magY %s", numerical_error_covariance_reset_string);
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return;
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return false;
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}
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}
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const float HKY24 = 1.0F/_mag_innov_var(1);
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const float HKY24 = 1.0F/_mag_innov_var(1);
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@@ -364,7 +364,7 @@ void Ekf::fuseMag(const Vector3f &mag)
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// we need to re-initialise covariances and abort this fusion step
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// we need to re-initialise covariances and abort this fusion step
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resetMagRelatedCovariances();
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resetMagRelatedCovariances();
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ECL_ERR("magZ %s", numerical_error_covariance_reset_string);
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ECL_ERR("magZ %s", numerical_error_covariance_reset_string);
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return;
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return false;
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}
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}
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const float HKZ24 = 1.0F/_mag_innov_var(2);
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const float HKZ24 = 1.0F/_mag_innov_var(2);
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@@ -427,6 +427,13 @@ void Ekf::fuseMag(const Vector3f &mag)
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limitDeclination();
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limitDeclination();
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}
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}
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}
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}
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if (!_fault_status.flags.bad_mag_x && !_fault_status.flags.bad_mag_y && !_fault_status.flags.bad_mag_z) {
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_time_last_mag_3d_fuse = _time_last_imu;
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return true;
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}
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return false;
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}
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}
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// update quaternion states and covariances using the yaw innovation and yaw observation variance
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// update quaternion states and covariances using the yaw innovation and yaw observation variance
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@@ -678,7 +685,7 @@ bool Ekf::fuseYaw(const float innovation, const float variance)
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return false;
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return false;
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}
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}
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void Ekf::fuseDeclination(float decl_sigma)
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bool Ekf::fuseDeclination(float decl_sigma)
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{
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{
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// assign intermediate state variables
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// assign intermediate state variables
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const float magN = _state.mag_I(0);
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const float magN = _state.mag_I(0);
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@@ -693,7 +700,7 @@ void Ekf::fuseDeclination(float decl_sigma)
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// Calculate intermediate variables
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// Calculate intermediate variables
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if (fabsf(magN) < sq(N_field_min)) {
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if (fabsf(magN) < sq(N_field_min)) {
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// calculation is badly conditioned close to +-90 deg declination
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// calculation is badly conditioned close to +-90 deg declination
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return;
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return false;
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}
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}
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const float HK0 = ecl::powf(magN, -2);
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const float HK0 = ecl::powf(magN, -2);
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@@ -712,7 +719,7 @@ void Ekf::fuseDeclination(float decl_sigma)
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HK9 = HK4/innovation_variance;
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HK9 = HK4/innovation_variance;
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} else {
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} else {
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// variance calculation is badly conditioned
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// variance calculation is badly conditioned
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return;
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return false;
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}
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}
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// Calculate the observation Jacobian
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// Calculate the observation Jacobian
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@@ -745,6 +752,8 @@ void Ekf::fuseDeclination(float decl_sigma)
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if (is_fused) {
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if (is_fused) {
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limitDeclination();
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limitDeclination();
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}
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}
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return is_fused;
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}
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}
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void Ekf::limitDeclination()
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void Ekf::limitDeclination()
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