EKF: move small simple getters to header

- return by const reference where possible

EKF/airspeed_fusion.cpp

@@ -161,11 +161,6 @@ void Ekf::fuseAirspeed()
 	}
 }
 
-Vector2f Ekf::getWindVelocity() const
-{
-	return _state.wind_vel;
-}
-
 Vector2f Ekf::getWindVelocityVariance() const
 {
 	return P.slice<2, 2>(22,22).diag();

EKF/covariance.cpp

@@ -103,16 +103,6 @@ void Ekf::initialiseCovariance()
 
 }
 
-Vector3f Ekf::getPositionVariance() const
-{
-	return P.slice<3,3>(7,7).diag();
-}
-
-Vector3f Ekf::getVelocityVariance() const
-{
-	return P.slice<3,3>(4,4).diag();
-}
-
 void Ekf::predictCovariance()
 {
 	// assign intermediate state variables

EKF/ekf.cpp

@@ -151,6 +151,7 @@ bool Ekf::initialiseFilter()
 		_accel_lpf.reset(imu_init.delta_vel / imu_init.delta_vel_dt);
 		_gyro_lpf.reset(imu_init.delta_ang / imu_init.delta_ang_dt);
 		_is_first_imu_sample = false;
+
 	} else {
 		_accel_lpf.update(imu_init.delta_vel / imu_init.delta_vel_dt);
 		_gyro_lpf.update(imu_init.delta_ang / imu_init.delta_ang_dt);
@@ -158,12 +159,13 @@ bool Ekf::initialiseFilter()
 
 	// Sum the magnetometer measurements
 	if (_mag_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_mag_sample_delayed)) {
-		if(_mag_sample_delayed.time_us != 0)
-		{
+		if (_mag_sample_delayed.time_us != 0) {
 			_mag_counter ++;
+
 			// wait for all bad initial data to be flushed
 			if (_mag_counter <= uint8_t(_obs_buffer_length + 1)) {
 				_mag_lpf.reset(_mag_sample_delayed.mag);
+
 			} else {
 				_mag_lpf.update(_mag_sample_delayed.mag);
 			}
@@ -172,12 +174,13 @@ bool Ekf::initialiseFilter()
 
 	// accumulate enough height measurements to be confident in the quality of the data
 	if (_baro_buffer.pop_first_older_than(_imu_sample_delayed.time_us, &_baro_sample_delayed)) {
-		if (_baro_sample_delayed.time_us != 0)
-		{
+		if (_baro_sample_delayed.time_us != 0) {
 			_baro_counter ++;
+
 			// wait for all bad initial data to be flushed
 			if (_baro_counter <= uint8_t(_obs_buffer_length + 1)) {
 				_baro_hgt_offset = _baro_sample_delayed.hgt;
+
 			} else if (_baro_counter > (uint8_t)(_obs_buffer_length + 1)) {
 				_baro_hgt_offset = 0.9f * _baro_hgt_offset + 0.1f * _baro_sample_delayed.hgt;
 			}
@@ -190,10 +193,11 @@ bool Ekf::initialiseFilter()
 	if (not_enough_baro_samples_accumulated || not_enough_mag_samples_accumulated) {
 		return false;
 	}
+
 	// we use baro height initially and switch to GPS/range/EV finder later when it passes checks.
 	setControlBaroHeight();
 
-	if(!initialiseTilt()){
+	if (!initialiseTilt()) {
 		return false;
 	}
 
@@ -230,6 +234,7 @@ bool Ekf::initialiseTilt()
 {
 	const float accel_norm = _accel_lpf.getState().norm();
 	const float gyro_norm = _gyro_lpf.getState().norm();
+
 	if (accel_norm < 0.9f * CONSTANTS_ONE_G ||
 	    accel_norm > 1.1f * CONSTANTS_ONE_G ||
 	    gyro_norm > math::radians(15.0f)) {
@@ -394,11 +399,11 @@ void Ekf::calculateOutputStates(const imuSample &imu)
 		// this data will be at the EKF fusion time horizon
 		// TODO: there is no guarantee that data is at delayed fusion horizon
 		//       Shouldnt we use pop_first_older_than?
-		const outputSample output_delayed = _output_buffer.get_oldest();
-		const outputVert output_vert_delayed = _output_vert_buffer.get_oldest();
+		const outputSample &output_delayed = _output_buffer.get_oldest();
+		const outputVert &output_vert_delayed = _output_vert_buffer.get_oldest();
 
 		// calculate the quaternion delta between the INS and EKF quaternions at the EKF fusion time horizon
-		const Quatf q_error( (_state.quat_nominal.inversed() * output_delayed.quat_nominal).normalized() );
+		const Quatf q_error((_state.quat_nominal.inversed() * output_delayed.quat_nominal).normalized());
 
 		// convert the quaternion delta to a delta angle
 		const float scalar = (q_error(0) >= 0.0f) ? -2.f : 2.f;

EKF/ekf.h

@@ -126,7 +126,7 @@ public:
 	matrix::Vector<float, 24> getStateAtFusionHorizonAsVector() const override;
 
 	// get the wind velocity in m/s
-	Vector2f getWindVelocity() const override;
+	const Vector2f &getWindVelocity() const { return _state.wind_vel; };
 
 	// get the wind velocity var
 	Vector2f getWindVelocityVariance() const override;
@@ -175,13 +175,13 @@ public:
 	*/
 	bool reset_imu_bias() override;
 
-	Vector3f getVelocityVariance() const override;
+	Vector3f getVelocityVariance() const { return P.slice<3, 3>(4, 4).diag(); };
 
-	Vector3f getPositionVariance() const override;
+	Vector3f getPositionVariance() const { return P.slice<3, 3>(7, 7).diag(); }
 
 	// return an array containing the output predictor angular, velocity and position tracking
 	// error magnitudes (rad), (m/sec), (m)
-	Vector3f getOutputTrackingError() const override { return _output_tracking_error; }
+	const Vector3f &getOutputTrackingError() const { return _output_tracking_error; }
 
 	/*
 	Returns  following IMU vibration metrics in the following array locations
@@ -189,7 +189,7 @@ public:
 	1 : Gyro high frequency vibe = filtered length of (delta_angle - prev_delta_angle)
 	2 : Accel high frequency vibe = filtered length of (delta_velocity - prev_delta_velocity)
 	*/
-	Vector3f getImuVibrationMetrics() const override { return _vibe_metrics; }
+	const Vector3f &getImuVibrationMetrics() const { return _vibe_metrics; }
 
 	/*
 	First argument returns GPS drift  metrics in the following array locations
@@ -220,10 +220,10 @@ public:
 	float get_terrain_var() const { return _terrain_var; }
 
 	// get the accelerometer bias in m/s**2
-	Vector3f getAccelBias() const override { return _state.delta_vel_bias / _dt_ekf_avg; }
+	Vector3f getAccelBias() const { return _state.delta_vel_bias / _dt_ekf_avg; }
 
 	// get the gyroscope bias in rad/s
-	Vector3f getGyroBias() const override { return _state.delta_ang_bias / _dt_ekf_avg; }
+	Vector3f getGyroBias() const { return _state.delta_ang_bias / _dt_ekf_avg; }
 
 	// get GPS check status
 	void get_gps_check_status(uint16_t *val) override { *val = _gps_check_fail_status.value; }
@@ -260,13 +260,14 @@ public:
 	// Innovation Test Ratios - these are the ratio of the innovation to the acceptance threshold.
 	// A value > 1 indicates that the sensor measurement has exceeded the maximum acceptable level and has been rejected by the EKF
 	// Where a measurement type is a vector quantity, eg magnetometer, GPS position, etc, the maximum value is returned.
-	void get_innovation_test_status(uint16_t &status, float &mag, float &vel, float &pos, float &hgt, float &tas, float &hagl, float &beta) override;
+	void get_innovation_test_status(uint16_t &status, float &mag, float &vel, float &pos, float &hgt, float &tas,
+					float &hagl, float &beta) override;
 
 	// return a bitmask integer that describes which state estimates can be used for flight control
 	void get_ekf_soln_status(uint16_t *status) override;
 
 	// return the quaternion defining the rotation from the External Vision to the EKF reference frame
-	matrix::Quatf getVisionAlignmentQuaternion() const override;
+	matrix::Quatf getVisionAlignmentQuaternion() const { return Quatf(_R_ev_to_ekf); };
 
 	// use the latest IMU data at the current time horizon.
 	Quatf calculate_quaternion() const;
@@ -471,7 +472,7 @@ private:
 	gps_check_fail_status_u _gps_check_fail_status{};
 
 	// variables used to inhibit accel bias learning
-	bool _accel_bias_inhibit[3]{};		///< true when the accel bias learning is being inhibited for the specified axis
+	bool _accel_bias_inhibit[3] {};		///< true when the accel bias learning is being inhibited for the specified axis
 	Vector3f _accel_vec_filt;		///< acceleration vector after application of a low pass filter (m/sec**2)
 	float _accel_magnitude_filt{0.0f};	///< acceleration magnitude after application of a decaying envelope filter (rad/sec)
 	float _ang_rate_magnitude_filt{0.0f};		///< angular rate magnitude after application of a decaying envelope filter (rad/sec)
@@ -541,7 +542,8 @@ private:
 	// variance : observaton variance
 	// gate_sigma : innovation consistency check gate size (Sigma)
 	// jacobian : 4x1 vector of partial derivatives of observation wrt each quaternion state
-	void updateQuaternion(const float innovation, const float variance, const float gate_sigma, const Vector4f &yaw_jacobian);
+	void updateQuaternion(const float innovation, const float variance, const float gate_sigma,
+			      const Vector4f &yaw_jacobian);
 
 	// fuse the yaw angle obtained from a dual antenna GPS unit
 	void fuseGpsYaw();

EKF/ekf_helper.cpp

@@ -63,13 +63,15 @@ void Ekf::resetVelocity()
 	}
 }
 
-void Ekf::resetVelocityToGps() {
+void Ekf::resetVelocityToGps()
+{
 	ECL_INFO_TIMESTAMPED("reset velocity to GPS");
 	resetVelocityTo(_gps_sample_delayed.vel);
 	P.uncorrelateCovarianceSetVariance<3>(4, sq(_gps_sample_delayed.sacc));
 }
 
-void Ekf::resetHorizontalVelocityToOpticalFlow() {
+void Ekf::resetHorizontalVelocityToOpticalFlow()
+{
 	ECL_INFO_TIMESTAMPED("reset velocity to flow");
 	// constrain height above ground to be above minimum possible
 	const float heightAboveGndEst = fmaxf((_terrain_vpos - _state.pos(2)), _params.rng_gnd_clearance);
@@ -89,6 +91,7 @@ void Ekf::resetHorizontalVelocityToOpticalFlow() {
 		const Vector3f vel_optflow_earth = _R_to_earth * vel_optflow_body;
 
 		resetHorizontalVelocityTo(Vector2f(vel_optflow_earth));
+
 	} else {
 		resetHorizontalVelocityTo(Vector2f{0.f, 0.f});
 	}
@@ -97,38 +100,44 @@ void Ekf::resetHorizontalVelocityToOpticalFlow() {
 	P.uncorrelateCovarianceSetVariance<2>(4, sq(range) * calcOptFlowMeasVar());
 }
 
-void Ekf::resetVelocityToVision() {
+void Ekf::resetVelocityToVision()
+{
 	ECL_INFO_TIMESTAMPED("reset to vision velocity");
 	resetVelocityTo(getVisionVelocityInEkfFrame());
 	P.uncorrelateCovarianceSetVariance<3>(4, getVisionVelocityVarianceInEkfFrame());
 }
 
-void Ekf::resetHorizontalVelocityToZero() {
+void Ekf::resetHorizontalVelocityToZero()
+{
 	ECL_INFO_TIMESTAMPED("reset velocity to zero");
 	// Used when falling back to non-aiding mode of operation
 	resetHorizontalVelocityTo(Vector2f{0.f, 0.f});
 	P.uncorrelateCovarianceSetVariance<2>(4, 25.0f);
 }
 
-void Ekf::resetVelocityTo(const Vector3f &new_vel) {
+void Ekf::resetVelocityTo(const Vector3f &new_vel)
+{
 	resetHorizontalVelocityTo(Vector2f(new_vel));
 	resetVerticalVelocityTo(new_vel(2));
 }
 
-void Ekf::resetHorizontalVelocityTo(const Vector2f &new_horz_vel) {
+void Ekf::resetHorizontalVelocityTo(const Vector2f &new_horz_vel)
+{
 	const Vector2f delta_horz_vel = new_horz_vel - Vector2f(_state.vel);
 	_state.vel.xy() = new_horz_vel;
 
 	for (uint8_t index = 0; index < _output_buffer.get_length(); index++) {
 		_output_buffer[index].vel.xy() += delta_horz_vel;
 	}
+
 	_output_new.vel.xy() += delta_horz_vel;
 
 	_state_reset_status.velNE_change = delta_horz_vel;
 	_state_reset_status.velNE_counter++;
 }
 
-void Ekf::resetVerticalVelocityTo(float new_vert_vel) {
+void Ekf::resetVerticalVelocityTo(float new_vert_vel)
+{
 	const float delta_vert_vel = new_vert_vel - _state.vel(2);
 	_state.vel(2) = new_vert_vel;
 
@@ -136,6 +145,7 @@ void Ekf::resetVerticalVelocityTo(float new_vert_vel) {
 		_output_buffer[index].vel(2) += delta_vert_vel;
 		_output_vert_buffer[index].vert_vel += delta_vert_vel;
 	}
+
 	_output_new.vel(2) += delta_vert_vel;
 	_output_vert_new.vert_vel += delta_vert_vel;
 
@@ -163,6 +173,7 @@ void Ekf::resetHorizontalPosition()
 		if (!_control_status.flags.in_air) {
 			// we are likely starting OF for the first time so reset the horizontal position
 			resetHorizontalPositionTo(Vector2f(0.f, 0.f));
+
 		} else {
 			resetHorizontalPositionTo(_last_known_posNE);
 		}
@@ -178,29 +189,35 @@ void Ekf::resetHorizontalPosition()
 	}
 }
 
-void Ekf::resetHorizontalPositionToGps() {
+void Ekf::resetHorizontalPositionToGps()
+{
 	ECL_INFO_TIMESTAMPED("reset position to GPS");
 	resetHorizontalPositionTo(_gps_sample_delayed.pos);
 	P.uncorrelateCovarianceSetVariance<2>(7, sq(_gps_sample_delayed.hacc));
 }
 
-void Ekf::resetHorizontalPositionToVision() {
+void Ekf::resetHorizontalPositionToVision()
+{
 	ECL_INFO_TIMESTAMPED("reset position to ev position");
 	Vector3f _ev_pos = _ev_sample_delayed.pos;
-	if(_params.fusion_mode & MASK_ROTATE_EV){
-		_ev_pos = _R_ev_to_ekf *_ev_sample_delayed.pos;
+
+	if (_params.fusion_mode & MASK_ROTATE_EV) {
+		_ev_pos = _R_ev_to_ekf * _ev_sample_delayed.pos;
 	}
+
 	resetHorizontalPositionTo(Vector2f(_ev_pos));
 	P.uncorrelateCovarianceSetVariance<2>(7, _ev_sample_delayed.posVar.slice<2, 1>(0, 0));
 }
 
-void Ekf::resetHorizontalPositionTo(const Vector2f &new_horz_pos) {
+void Ekf::resetHorizontalPositionTo(const Vector2f &new_horz_pos)
+{
 	const Vector2f delta_horz_pos = new_horz_pos - Vector2f(_state.pos);
 	_state.pos.xy() = new_horz_pos;
 
 	for (uint8_t index = 0; index < _output_buffer.get_length(); index++) {
 		_output_buffer[index].pos.xy() += delta_horz_pos;
 	}
+
 	_output_new.pos.xy() += delta_horz_pos;
 
 	_state_reset_status.posNE_change = delta_horz_pos;
@@ -392,13 +409,15 @@ bool Ekf::realignYawGPS()
 		ECL_WARN_TIMESTAMPED("bad yaw, using GPS course");
 
 		// declare the magnetometer as failed if a bad yaw has occurred more than once
-		if (_control_status.flags.mag_aligned_in_flight && (_num_bad_flight_yaw_events >= 2) && !_control_status.flags.mag_fault) {
+		if (_control_status.flags.mag_aligned_in_flight && (_num_bad_flight_yaw_events >= 2)
+		    && !_control_status.flags.mag_fault) {
 			ECL_WARN_TIMESTAMPED("stopping mag use");
 			_control_status.flags.mag_fault = true;
 		}
 
 		// calculate new yaw estimate
 		float yaw_new;
+
 		if (!_control_status.flags.mag_aligned_in_flight) {
 			// This is our first flight alignment so we can assume that the recent change in velocity has occurred due to a
 			// forward direction takeoff or launch and therefore the inertial and GPS ground course discrepancy is due to yaw error
@@ -410,7 +429,7 @@ bool Ekf::realignYawGPS()
 			// we have previously aligned yaw in-flight and have wind estimates so set the yaw such that the vehicle nose is
 			// aligned with the wind relative GPS velocity vector
 			yaw_new = atan2f((_gps_sample_delayed.vel(1) - _state.wind_vel(1)),
-						(_gps_sample_delayed.vel(0) - _state.wind_vel(0)));
+					 (_gps_sample_delayed.vel(0) - _state.wind_vel(0)));
 
 		} else {
 			// we don't have wind estimates, so align yaw to the GPS velocity vector
@@ -419,7 +438,7 @@ bool Ekf::realignYawGPS()
 		}
 
 		// use the combined EKF and GPS speed variance to calculate a rough estimate of the yaw error after alignment
-		const float SpdErrorVariance = sq(_gps_sample_delayed.sacc) + P(4,4) + P(5,5);
+		const float SpdErrorVariance = sq(_gps_sample_delayed.sacc) + P(4, 4) + P(5, 5);
 		const float sineYawError = math::constrain(sqrtf(SpdErrorVariance) / gpsSpeed, 0.0f, 1.0f);
 		const float yaw_variance_new = sq(asinf(sineYawError));
 
@@ -472,6 +491,7 @@ bool Ekf::resetMagHeading(const Vector3f &mag_init, bool increase_yaw_var, bool
 	// calculate the observed yaw angle and yaw variance
 	float yaw_new;
 	float yaw_new_variance = 0.0f;
+
 	if (_control_status.flags.ev_yaw) {
 		yaw_new = getEuler312Yaw(_ev_sample_delayed.quat);
 
@@ -570,7 +590,8 @@ float Ekf::compensateBaroForDynamicPressure(const float baro_alt_uncompensated)
 
 	const Vector3f airspeed_body = R_to_body * airspeed_earth;
 
-	const Vector3f K_pstatic_coef(airspeed_body(0) >= 0.0f ? _params.static_pressure_coef_xp : _params.static_pressure_coef_xn,
+	const Vector3f K_pstatic_coef(airspeed_body(0) >= 0.0f ? _params.static_pressure_coef_xp :
+				      _params.static_pressure_coef_xn,
 				      airspeed_body(1) >= 0.0f ? _params.static_pressure_coef_yp : _params.static_pressure_coef_yn,
 				      _params.static_pressure_coef_z);
 
@@ -695,10 +716,12 @@ bool Ekf::get_gps_drift_metrics(float drift[3], bool *blocked)
 {
 	memcpy(drift, _gps_drift_metrics, 3 * sizeof(float));
 	*blocked = !_control_status.flags.vehicle_at_rest;
+
 	if (_gps_drift_updated) {
 		_gps_drift_updated = false;
 		return true;
 	}
+
 	return false;
 }
 
@@ -708,27 +731,27 @@ void Ekf::get_ekf_gpos_accuracy(float *ekf_eph, float *ekf_epv)
 	// report absolute accuracy taking into account the uncertainty in location of the origin
 	// If not aiding, return 0 for horizontal position estimate as no estimate is available
 	// TODO - allow for baro drift in vertical position error
-	float hpos_err = sqrtf(P(7,7) + P(8,8) + sq(_gps_origin_eph));
+	float hpos_err = sqrtf(P(7, 7) + P(8, 8) + sq(_gps_origin_eph));
 
 	// If we are dead-reckoning, use the innovations as a conservative alternate measure of the horizontal position error
 	// The reason is that complete rejection of measurements is often caused by heading misalignment or inertial sensing errors
 	// and using state variances for accuracy reporting is overly optimistic in these situations
 	if (_is_dead_reckoning && (_control_status.flags.gps)) {
 		hpos_err = math::max(hpos_err, sqrtf(sq(_gps_pos_innov(0)) + sq(_gps_pos_innov(1))));
-	}
-	else if (_is_dead_reckoning && (_control_status.flags.ev_pos)) {
+
+	} else if (_is_dead_reckoning && (_control_status.flags.ev_pos)) {
 		hpos_err = math::max(hpos_err, sqrtf(sq(_ev_pos_innov(0)) + sq(_ev_pos_innov(1))));
 	}
 
 	*ekf_eph = hpos_err;
-	*ekf_epv = sqrtf(P(9,9) + sq(_gps_origin_epv));
+	*ekf_epv = sqrtf(P(9, 9) + sq(_gps_origin_epv));
 }
 
 // get the 1-sigma horizontal and vertical position uncertainty of the ekf local position
 void Ekf::get_ekf_lpos_accuracy(float *ekf_eph, float *ekf_epv)
 {
 	// TODO - allow for baro drift in vertical position error
-	float hpos_err = sqrtf(P(7,7) + P(8,8));
+	float hpos_err = sqrtf(P(7, 7) + P(8, 8));
 
 	// If we are dead-reckoning, use the innovations as a conservative alternate measure of the horizontal position error
 	// The reason is that complete rejection of measurements is often caused by heading misalignment or inertial sensing errors
@@ -738,13 +761,13 @@ void Ekf::get_ekf_lpos_accuracy(float *ekf_eph, float *ekf_epv)
 	}
 
 	*ekf_eph = hpos_err;
-	*ekf_epv = sqrtf(P(9,9));
+	*ekf_epv = sqrtf(P(9, 9));
 }
 
 // get the 1-sigma horizontal and vertical velocity uncertainty
 void Ekf::get_ekf_vel_accuracy(float *ekf_evh, float *ekf_evv)
 {
-	float hvel_err = sqrtf(P(4,4) + P(5,5));
+	float hvel_err = sqrtf(P(4, 4) + P(5, 5));
 
 	// If we are dead-reckoning, use the innovations as a conservative alternate measure of the horizontal velocity error
 	// The reason is that complete rejection of measurements is often caused by heading misalignment or inertial sensing errors
@@ -759,19 +782,20 @@ void Ekf::get_ekf_vel_accuracy(float *ekf_evh, float *ekf_evv)
 
 		if (_control_status.flags.gps) {
 			vel_err_conservative = math::max(vel_err_conservative, sqrtf(sq(_gps_pos_innov(0)) + sq(_gps_pos_innov(1))));
-		}
-		else if (_control_status.flags.ev_pos) {
+
+		} else if (_control_status.flags.ev_pos) {
 			vel_err_conservative = math::max(vel_err_conservative, sqrtf(sq(_ev_pos_innov(0)) + sq(_ev_pos_innov(1))));
 		}
 
 		if (_control_status.flags.ev_vel) {
 			vel_err_conservative = math::max(vel_err_conservative, sqrtf(sq(_ev_vel_innov(0)) + sq(_ev_vel_innov(1))));
 		}
+
 		hvel_err = math::max(hvel_err, vel_err_conservative);
 	}
 
 	*ekf_evh = hvel_err;
-	*ekf_evv = sqrtf(P(6,6));
+	*ekf_evv = sqrtf(P(6, 6));
 }
 
 /*
@@ -842,7 +866,7 @@ bool Ekf::reset_imu_bias()
 	_last_imu_bias_cov_reset_us = _imu_sample_delayed.time_us;
 
 	// Set previous frame values
-	_prev_dvel_bias_var = P.slice<3,3>(13,13).diag();
+	_prev_dvel_bias_var = P.slice<3, 3>(13, 13).diag();
 
 	return true;
 }
@@ -852,17 +876,18 @@ bool Ekf::reset_imu_bias()
 // Innovation Test Ratios - these are the ratio of the innovation to the acceptance threshold.
 // A value > 1 indicates that the sensor measurement has exceeded the maximum acceptable level and has been rejected by the EKF
 // Where a measurement type is a vector quantity, eg magnetometer, GPS position, etc, the maximum value is returned.
-void Ekf::get_innovation_test_status(uint16_t &status, float &mag, float &vel, float &pos, float &hgt, float &tas, float &hagl, float &beta)
+void Ekf::get_innovation_test_status(uint16_t &status, float &mag, float &vel, float &pos, float &hgt, float &tas,
+				     float &hagl, float &beta)
 {
 	// return the integer bitmask containing the consistency check pass/fail status
 	status = _innov_check_fail_status.value;
 	// return the largest magnetometer innovation test ratio
-	mag = sqrtf(math::max(_yaw_test_ratio,_mag_test_ratio.max()));
+	mag = sqrtf(math::max(_yaw_test_ratio, _mag_test_ratio.max()));
 	// return the largest velocity innovation test ratio
 	vel = math::max(sqrtf(math::max(_gps_vel_test_ratio(0), _gps_vel_test_ratio(1))),
 			sqrtf(math::max(_ev_vel_test_ratio(0), _ev_vel_test_ratio(1))));
 	// return the largest position innovation test ratio
-	pos = math::max(sqrtf(_gps_pos_test_ratio(0)),sqrtf(_ev_pos_test_ratio(0)));
+	pos = math::max(sqrtf(_gps_pos_test_ratio(0)), sqrtf(_ev_pos_test_ratio(0)));
 
 	// return the vertical position innovation test ratio
 	hgt = sqrtf(_gps_pos_test_ratio(0));
@@ -897,7 +922,7 @@ void Ekf::get_ekf_soln_status(uint16_t *status)
 	*status = soln_status.value;
 }
 
-void Ekf::fuse(const Vector24f& K, float innovation)
+void Ekf::fuse(const Vector24f &K, float innovation)
 {
 	_state.quat_nominal -= K.slice<4, 1>(0, 0) * innovation;
 	_state.quat_nominal.normalize();
@@ -943,7 +968,8 @@ void Ekf::update_deadreckoning_status()
 	}
 
 	// report if we have been deadreckoning for too long, initial state is deadreckoning until aiding is present
-	_deadreckon_time_exceeded = (_time_last_aiding == 0) || isTimedOut(_time_last_aiding, (uint64_t)_params.valid_timeout_max);
+	_deadreckon_time_exceeded = (_time_last_aiding == 0)
+				    || isTimedOut(_time_last_aiding, (uint64_t)_params.valid_timeout_max);
 }
 
 // calculate the variances for the rotation vector equivalent
@@ -1228,6 +1254,7 @@ Vector3f Ekf::getVisionVelocityInEkfFrame() const
 			}
 			break;
 	}
+
 	return vel;
 }
 
@@ -1248,6 +1275,7 @@ Vector3f Ekf::getVisionVelocityVarianceInEkfFrame() const
 			}
 			break;
 	}
+
 	return ev_vel_cov.diag();
 }
 
@@ -1259,12 +1287,6 @@ void Ekf::calcExtVisRotMat()
 	_R_ev_to_ekf = Dcmf(q_error);
 }
 
-// return the quaternions for the rotation from External Vision system reference frame to the EKF reference frame
-matrix::Quatf Ekf::getVisionAlignmentQuaternion() const
-{
-	return Quatf(_R_ev_to_ekf);
-}
-
 // Increase the yaw error variance of the quaternions
 // Argument is additional yaw variance in rad**2
 void Ekf::increaseQuatYawErrVariance(float yaw_variance)
@@ -1312,7 +1334,7 @@ void Ekf::saveMagCovData()
 {
 	// save variances for the D earth axis and XYZ body axis field
 	for (uint8_t index = 0; index <= 3; index ++) {
-		_saved_mag_bf_variance[index] = P(index + 18,index + 18);
+		_saved_mag_bf_variance[index] = P(index + 18, index + 18);
 	}
 
 	// save the NE axis covariance sub-matrix
@@ -1323,8 +1345,9 @@ void Ekf::loadMagCovData()
 {
 	// re-instate variances for the D earth axis and XYZ body axis field
 	for (uint8_t index = 0; index <= 3; index ++) {
-		P(index + 18,index + 18) = _saved_mag_bf_variance[index];
+		P(index + 18, index + 18) = _saved_mag_bf_variance[index];
 	}
+
 	// re-instate the NE axis covariance sub-matrix
 	P.slice<2, 2>(16, 16) = _saved_mag_ef_covmat;
 }
@@ -1380,19 +1403,22 @@ void Ekf::stopGpsYawFusion()
 	_control_status.flags.gps_yaw = false;
 }
 
-void Ekf::startEvPosFusion() {
+void Ekf::startEvPosFusion()
+{
 	_control_status.flags.ev_pos = true;
 	resetHorizontalPosition();
 	ECL_INFO_TIMESTAMPED("starting vision pos fusion");
 }
 
-void Ekf::startEvVelFusion() {
+void Ekf::startEvVelFusion()
+{
 	_control_status.flags.ev_vel = true;
 	resetVelocity();
 	ECL_INFO_TIMESTAMPED("starting vision vel fusion");
 }
 
-void Ekf::startEvYawFusion() {
+void Ekf::startEvYawFusion()
+{
 	// reset the yaw angle to the value from the vision quaternion
 	const float yaw = getEuler321Yaw(_ev_sample_delayed.quat);
 	const float yaw_variance = fmaxf(_ev_sample_delayed.angVar, sq(1.0e-2f));
@@ -1529,6 +1555,7 @@ bool Ekf::resetYawToEKFGSF()
 
 	if (_params.mag_fusion_type == MAG_FUSE_TYPE_NONE) {
 		ECL_INFO_TIMESTAMPED("Yaw aligned using IMU and GPS");
+
 	} else {
 		// stop using the magnetometer in the main EKF otherwise it's fusion could drag the yaw around
 		// and cause another navigation failure
@@ -1539,16 +1566,19 @@ bool Ekf::resetYawToEKFGSF()
 	return true;
 }
 
-bool Ekf::getDataEKFGSF(float *yaw_composite, float *yaw_variance, float yaw[N_MODELS_EKFGSF], float innov_VN[N_MODELS_EKFGSF], float innov_VE[N_MODELS_EKFGSF], float weight[N_MODELS_EKFGSF])
+bool Ekf::getDataEKFGSF(float *yaw_composite, float *yaw_variance, float yaw[N_MODELS_EKFGSF],
+			float innov_VN[N_MODELS_EKFGSF], float innov_VE[N_MODELS_EKFGSF], float weight[N_MODELS_EKFGSF])
 {
-	return yawEstimator.getLogData(yaw_composite,yaw_variance,yaw,innov_VN,innov_VE,weight);
+	return yawEstimator.getLogData(yaw_composite, yaw_variance, yaw, innov_VN, innov_VE, weight);
 }
 
 void Ekf::runYawEKFGSF()
 {
 	float TAS;
+
 	if (isTimedOut(_airspeed_sample_delayed.time_us, 1000000) && _control_status.flags.fixed_wing) {
 		TAS = _params.EKFGSF_tas_default;
+
 	} else {
 		TAS = _airspeed_sample_delayed.true_airspeed;
 	}

EKF/estimator_interface.h

@@ -123,24 +123,10 @@ public:
 
 	virtual matrix::Vector<float, 24> getStateAtFusionHorizonAsVector() const = 0;
 
-	virtual Vector2f getWindVelocity() const = 0;
-
 	virtual Vector2f getWindVelocityVariance() const = 0;
 
 	virtual void get_true_airspeed(float *tas) = 0;
 
-	// return an array containing the output predictor angular, velocity and position tracking
-	// error magnitudes (rad), (m/s), (m)
-	virtual Vector3f getOutputTrackingError() const = 0;
-
-	/*
-	Returns  following IMU vibration metrics in the following array locations
-	0 : Gyro delta angle coning metric = filtered length of (delta_angle x prev_delta_angle)
-	1 : Gyro high frequency vibe = filtered length of (delta_angle - prev_delta_angle)
-	2 : Accel high frequency vibe = filtered length of (delta_velocity - prev_delta_velocity)
-	*/
-	virtual Vector3f getImuVibrationMetrics() const = 0;
-
 	/*
 	First argument returns GPS drift  metrics in the following array locations
 	0 : Horizontal position drift rate (m/s)
@@ -193,7 +179,7 @@ public:
 
 	// return a address to the parameters struct
 	// in order to give access to the application
-	parameters *getParamHandle() {return &_params;}
+	parameters *getParamHandle() { return &_params; }
 
 	// set vehicle landed status data
 	void set_in_air_status(bool in_air) {_control_status.flags.in_air = in_air;}
@@ -285,10 +271,7 @@ public:
 	// return true if the local position estimate is valid
 	bool local_position_is_valid();
 
-	const matrix::Quatf getQuaternion() const { return _output_new.quat_nominal; }
-
-	// return the quaternion defining the rotation from the EKF to the External Vision reference frame
-	virtual matrix::Quatf getVisionAlignmentQuaternion() const = 0;
+	const matrix::Quatf &getQuaternion() const { return _output_new.quat_nominal; }
 
 	// get the velocity of the body frame origin in local NED earth frame
 	Vector3f getVelocity() const
@@ -297,19 +280,11 @@ public:
 		return vel_earth;
 	}
 
-	virtual Vector3f getVelocityVariance() const = 0;
-
 	// get the velocity derivative in earth frame
-	Vector3f getVelocityDerivative() const
-	{
-		return _vel_deriv;
-	}
+	const Vector3f &getVelocityDerivative() const { return _vel_deriv; }
 
 	// get the derivative of the vertical position of the body frame origin in local NED earth frame
-	float getVerticalPositionDerivative() const
-	{
-		return _output_vert_new.vert_vel - _vel_imu_rel_body_ned(2);
-	}
+	float getVerticalPositionDerivative() const { return _output_vert_new.vert_vel - _vel_imu_rel_body_ned(2); }
 
 	// get the position of the body frame origin in local earth frame
 	Vector3f getPosition() const
@@ -320,15 +295,11 @@ public:
 		return _output_new.pos - pos_offset_earth;
 	}
 
-	virtual Vector3f getPositionVariance() const = 0;
-
 	// Get the value of magnetic declination in degrees to be saved for use at the next startup
 	// Returns true when the declination can be saved
 	// At the next startup, set param.mag_declination_deg to the value saved
 	bool get_mag_decl_deg(float *val)
 	{
-		*val = 0.0f;
-
 		if (_NED_origin_initialised && (_params.mag_declination_source & MASK_SAVE_GEO_DECL)) {
 			*val = math::degrees(_mag_declination_gps);
 			return true;
@@ -338,20 +309,11 @@ public:
 		}
 	}
 
-	virtual Vector3f getAccelBias() const = 0;
-	virtual Vector3f getGyroBias() const = 0;
-
 	// get EKF mode status
-	void get_control_mode(uint32_t *val)
-	{
-		*val = _control_status.value;
-	}
+	void get_control_mode(uint32_t *val) { *val = _control_status.value; }
 
 	// get EKF internal fault status
-	void get_filter_fault_status(uint16_t *val)
-	{
-		*val = _fault_status.value;
-	}
+	void get_filter_fault_status(uint16_t *val) { *val = _fault_status.value; }
 
 	bool isVehicleAtRest() const { return _control_status.flags.vehicle_at_rest; }
 
@@ -388,16 +350,10 @@ public:
 	float get_dt_imu_avg() const { return _dt_imu_avg; }
 
 	// Getter for the imu sample on the delayed time horizon
-	imuSample get_imu_sample_delayed()
-	{
-		return _imu_sample_delayed;
-	}
+	const imuSample &get_imu_sample_delayed() { return _imu_sample_delayed; }
 
 	// Getter for the baro sample on the delayed time horizon
-	baroSample get_baro_sample_delayed()
-	{
-		return _baro_sample_delayed;
-	}
+	const baroSample &get_baro_sample_delayed() { return _baro_sample_delayed; }
 
 	void print_status();