| 1 | /*! |
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| 2 | \file |
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| 3 | \brief Bayesian Filtering for linear Gaussian models (Kalman Filter) and extensions |
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| 4 | \author Vaclav Smidl. |
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| 5 | |
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| 6 | ----------------------------------- |
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| 7 | BDM++ - C++ library for Bayesian Decision Making under Uncertaint16y |
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| 8 | |
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| 9 | Using IT++ for numerical operations |
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| 10 | ----------------------------------- |
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| 11 | */ |
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| 12 | |
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| 13 | #ifndef EKF_mm_H |
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| 14 | #define EKF_mm_H |
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| 15 | |
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| 16 | #include "fixed.h" |
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| 17 | #include "matrix.h" |
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| 18 | #include "matrix_vs.h" |
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| 19 | #include "reference_Q15.h" |
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| 20 | #include "parametry_motoru.h" |
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| 21 | |
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| 22 | struct ekf_data{ |
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| 23 | int16 Q[4]; /* matrix [4,4] */ |
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| 24 | int16 dR[2]; /* diag of matrix [2,2] */ |
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| 25 | |
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| 26 | int16 x_est[2]; /* estimate and prediction */ |
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| 27 | int16 y_est[2]; /* estimate and prediction */ |
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| 28 | int16 y_old[2]; /* estimate and prediction */ |
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| 29 | |
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| 30 | int16 PSI[4]; /* matrix [4,4] */ |
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| 31 | int16 PSICh[4]; /* matrix PIS*U, [4,4] */ |
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| 32 | int16 C[4]; /* matrix [4,4] */ |
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| 33 | |
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| 34 | int16 Chf[4]; // upper triangular of covariance (inplace) |
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| 35 | |
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| 36 | int16 cA, cB, cC, cG, cH; // cD, cE, cF, cI ... nepouzivane |
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| 37 | }; |
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| 38 | |
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| 39 | |
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| 40 | void init_ekfCh2( ekf_data *E, double Tv); |
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| 41 | void ekfCh2(ekf_data *E, int16 ux, int16 uy, int16 isx, int16 isy, int16 *detS, int16 *rem); |
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| 42 | |
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| 43 | void ekfmm(ekf_data *E1, ekf_data *E2, int16 ux, int16 uy, int16 isx, int16 isy); |
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| 44 | |
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| 45 | |
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| 46 | #endif // KF_H |
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| 47 | |
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