An improvement to the adaptive Kalman filter with the feedback of estimation error
N. Prornkajin, S. Noppanakeepong
Abstract
N. Prornkajin, S. Noppanakeepong
Abstract
This paper presents a new novel technique for implementation of the adaptive Kalman filter. The algorithm is based on Kalman filtering tracking method with the addition of feedback estimation error. The performance of the algorithm is compared with that of a standard Kalman filter and also with that of an IMM algorithm. This proposed filter is simple to implement and requires less computational load while produce better estimates than the standard Kalman filter algorithm and closely to the IMM algorithm.
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This paper presents a new novel technique for implementation of the adaptive Kalman filter. The algorithm is based on Kalman filtering tracking method with the addition of feedback estimation error. The performance of the algorithm is compared with that of a standard Kalman filter and also with that of an IMM algorithm. This proposed filter is simple to implement and requires less computational load while produce better estimates than the standard Kalman filter algorithm and closely to the IMM algorithm.
Key concepts: Fast Kalman filter, Invariant extended Kalman filter, Kalman filter, Alpha beta filter, Computer science, Control theory (sociology), Ensemble Kalman filter, Extended Kalman filter