forked from Archive/PX4-Autopilot
ekf2: ZeroGyroUpdate move to fuseDirectStateMeasurement
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@ -60,25 +60,13 @@ bool ZeroGyroUpdate::update(Ekf &ekf, const estimator::imuSample &imu_delayed)
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if (zero_gyro_update_data_ready) {
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Vector3f gyro_bias = _zgup_delta_ang / _zgup_delta_ang_dt;
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Vector3f innovation = ekf.state().gyro_bias - gyro_bias;
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const float obs_var = sq(math::constrain(ekf.getGyroNoise(), 0.f, 1.f));
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const Vector3f innov_var = ekf.getGyroBiasVariance() + obs_var;
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for (int i = 0; i < 3; i++) {
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Ekf::VectorState K; // Kalman gain vector for any single observation - sequential fusion is used.
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const unsigned state_index = State::gyro_bias.idx + i;
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// calculate kalman gain K = PHS, where S = 1/innovation variance
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for (int row = 0; row < State::size; row++) {
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K(row) = ekf.stateCovariance(row, state_index) / innov_var(i);
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}
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Ekf::VectorState H{};
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H(State::gyro_bias.idx + i) = 1.f;
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ekf.measurementUpdate(K, H, obs_var, innovation(i), innov_var(i));
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for (unsigned i = 0; i < 3; i++) {
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const float innovation = ekf.state().gyro_bias(i) - gyro_bias(i);
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const float innov_var = ekf.getGyroBiasVariance()(i) + obs_var;
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ekf.fuseDirectStateMeasurement(innovation, innov_var, obs_var, State::gyro_bias.idx + i);
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}
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// Reset the integrators
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