The problem of integrating measurement data that come from various navigation sources at different moments of time is considered. An algorithm is established which uses modified Kalman filter to process separately scalar data even in cases of vector input. ; This approach allows us to construct unified estimation algorithm for processing variable dimension measurement vectors and to decrease covariances of estimate errors if extra measurement appears at the filter input from a new source and with different sampling interval. A simple method is also proposed to avoid filter divergence resulting from computational errors. Statistical simulation of the algorithm proving its applicability is presented.
Jul 28, 2020
Jul 24, 2020
|Integration of multisensor measurements using modified Kalman filter||Jul 28, 2020|
Bidyuk, Petro Podladchikov, Vladimir Podladchikova, Iryna Caban, Dariusz - red.
Bondarenko, Julia Bidyuk, Petro Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef Cempel, Czesław Korbicz, Józef - red. Cempel, Czesław - red.
Korbicz, Józef Ramirez, W. Fred Fathi, Zohreh Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef Fathi, Zohreh Ramirez, W. Fred Korbicz, Józef - red. Uciński, Dariusz - red.
Korbicz, Józef Uciński, Dariusz Pieczyński, Andrzej Marczewska, Grażyna Korbicz, Józef - red. Cempel, Czesław - red.
Xu, Li Saito, Osami Abe, Kenichi Kaczorek, Tadeusz - ed.
Trzaska, Zdzisław W. Kaczorek, Tadeusz - ed.