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ekf2: consolidate airspeed fusion logic and helpers
- pass new airspeed sample around when available - can't completely eliminate _airspeed_sample_delayed until resetWind() called from sideslip fusion is updated
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@@ -605,34 +605,3 @@ void Ekf::resetZDeltaAngBiasCov()
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P.uncorrelateCovarianceSetVariance<1>(12, init_delta_ang_bias_var);
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}
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void Ekf::resetWindCovarianceUsingAirspeed()
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{
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// Derived using EKF/matlab/scripts/Inertial Nav EKF/wind_cov.py
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// TODO: explicitly include the sideslip angle in the derivation
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const float euler_yaw = getEulerYaw(_R_to_earth);
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const float R_TAS = sq(math::constrain(_params.eas_noise, 0.5f, 5.0f) * math::constrain(_airspeed_sample_delayed.eas2tas, 0.9f, 10.0f));
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constexpr float initial_sideslip_uncertainty = math::radians(15.0f);
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const float initial_wind_var_body_y = sq(_airspeed_sample_delayed.true_airspeed * sinf(initial_sideslip_uncertainty));
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constexpr float R_yaw = sq(math::radians(10.0f));
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const float cos_yaw = cosf(euler_yaw);
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const float sin_yaw = sinf(euler_yaw);
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// rotate wind velocity into earth frame aligned with vehicle yaw
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const float Wx = _state.wind_vel(0) * cos_yaw + _state.wind_vel(1) * sin_yaw;
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const float Wy = -_state.wind_vel(0) * sin_yaw + _state.wind_vel(1) * cos_yaw;
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// it is safer to remove all existing correlations to other states at this time
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P.uncorrelateCovarianceSetVariance<2>(22, 0.0f);
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P(22, 22) = R_TAS * sq(cos_yaw) + R_yaw * sq(-Wx * sin_yaw - Wy * cos_yaw) + initial_wind_var_body_y * sq(sin_yaw);
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P(22, 23) = R_TAS * sin_yaw * cos_yaw + R_yaw * (-Wx * sin_yaw - Wy * cos_yaw) * (Wx * cos_yaw - Wy * sin_yaw) -
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initial_wind_var_body_y * sin_yaw * cos_yaw;
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P(23, 22) = P(22, 23);
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P(23, 23) = R_TAS * sq(sin_yaw) + R_yaw * sq(Wx * cos_yaw - Wy * sin_yaw) + initial_wind_var_body_y * sq(cos_yaw);
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// Now add the variance due to uncertainty in vehicle velocity that was used to calculate the initial wind speed
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P(22, 22) += P(4, 4);
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P(23, 23) += P(5, 5);
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}
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