Dynamic Filtering Method for GPS Based on Multi-Scale

Abstract

Aiming at GPS dynamic filtering method, this paper uses the method of multi-scale analysis, combines the “current” statistical model of automotive carrier with multi-scale signal transformation which is based on statistical characteristic, establishes the new algorithm of multi-scale data fusion for GPS dynamic filter combining with normal Kalman filter algorithm, at last achieves the optimal fusion estimated value of the target states based on global information at the finest scale. When the above algorithm is used to GPS dynamic filter, the simulated results show that the proposed algorithm can effectively increase estimated precision of target states compared with the conventional KF. DOI: http://dx.doi.org/10.11591/telkomnika.v11i1.1918