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@ -188,12 +188,12 @@ ReturnValue_t MultiplicativeKalmanFilter::init(
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initialCovarianceMatrix[5][4] = initGyroCov[2][1];
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initialCovarianceMatrix[5][5] = initGyroCov[2][2];
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updateDataSetWithoutData(mekfData, MekfStatus::INITIALIZED);
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return KALMAN_INITIALIZED;
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return MEKF_INITIALIZED;
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} else {
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// no initialisation possible, no valid measurements
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validInit = false;
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updateDataSetWithoutData(mekfData, MekfStatus::UNINITIALIZED);
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return KALMAN_UNINITIALIZED;
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return MEKF_UNINITIALIZED;
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}
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}
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@ -210,12 +210,12 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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int MDF = 0; // Matrix Dimension Factor
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if (!validGYRs_) {
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updateDataSetWithoutData(mekfData, MekfStatus::NO_GYR_DATA);
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return KALMAN_NO_GYR_DATA;
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return MEKF_NO_GYR_DATA;
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}
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// Check for Model Calculations
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else if (!validSSModel || !validMagModel) {
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updateDataSetWithoutData(mekfData, MekfStatus::NO_MODEL_VECTORS);
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return KALMAN_NO_MODEL_VECTORS;
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return MEKF_NO_MODEL_VECTORS;
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}
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// Check Measurements available from SS, MAG, STR
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if (validSS && validMagField_ && validSTR_) {
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@ -853,7 +853,7 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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int inversionFailed = MathOperations<double>::inverseMatrix(*residualCov, *invResidualCov, MDF);
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if (inversionFailed) {
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updateDataSetWithoutData(mekfData, MekfStatus::COVARIANCE_INVERSION_FAILED);
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return KALMAN_COVARIANCE_INVERSION_FAILED; // RETURN VALUE ? -- Like: Kalman Inversion Failed
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return MEKF_COVARIANCE_INVERSION_FAILED; // RETURN VALUE ? -- Like: Kalman Inversion Failed
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}
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// [K = P * H' / (H * P * H' + R)]
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@ -1084,7 +1084,7 @@ ReturnValue_t MultiplicativeKalmanFilter::mekfEst(const double *quaternionSTR, c
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MatrixOperations<double>::add(*cov0, *cov1, *initialCovarianceMatrix, 6, 6);
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updateDataSet(mekfData, MekfStatus::RUNNING, quatBJ, rotRateEst);
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return KALMAN_RUNNING;
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return MEKF_RUNNING;
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}
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ReturnValue_t MultiplicativeKalmanFilter::reset(acsctrl::MekfData *mekfData) {
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@ -1094,7 +1094,7 @@ ReturnValue_t MultiplicativeKalmanFilter::reset(acsctrl::MekfData *mekfData) {
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std::memcpy(initialQuaternion, resetQuaternion, 4 * sizeof(double));
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std::memcpy(initialCovarianceMatrix, resetCovarianceMatrix, 6 * 6 * sizeof(double));
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updateDataSetWithoutData(mekfData, MekfStatus::UNINITIALIZED);
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return KALMAN_UNINITIALIZED;
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return MEKF_UNINITIALIZED;
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}
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void MultiplicativeKalmanFilter::updateDataSetWithoutData(acsctrl::MekfData *mekfData,
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@ -22,7 +22,7 @@ class Navigation {
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private:
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MultiplicativeKalmanFilter multiplicativeKalmanFilter;
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AcsParameters acsParameters;
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ReturnValue_t mekfStatus = MultiplicativeKalmanFilter::KALMAN_UNINITIALIZED;
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ReturnValue_t mekfStatus = MultiplicativeKalmanFilter::MEKF_UNINITIALIZED;
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};
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#endif /* ACS_NAVIGATION_H_ */
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