Combination Algorithm of Two Kinds of Adaptive Filter in GPS Positioning
LU Yan-e · Modern Defence Technology · 2012
The reasons of the instability of Kalman filtering are analyzed,which indicates that the exponentially-weighted fading adaptive memory filtering and noise exponentially-weighted adaptive filtering are the two ways to prevent filtering divergence,and the fading factor selection as well as the noise model online estimation is analyzed correspondingly.Finally,the position algorithm combining with two positioning methods is proposed.The simulation result indicates that fading adaptive memory filtering and noise exponentially-weighted adaptive filtering obviously increase the position accuracy of Kalman filtering,and restrain the filtering divergence.In addition,the combinatorial algorithm makes the advantages of the two position methods complement each other,which increases the stability of the algorithm.