A New Hybrid Grid Multiple Model Estimation Based on STF

Abstract

The paper presents a hybrid model grid variable structure multiple model algorithm basing on strong tracking filter (STF-VSMM) which is used to state estimation for complicated system. The total model set for STF-VSMM is the combination of a coarse model grid and an adaptive fine grid moving freely in the system mode space. During the produce of the fine model grid, the paper uses a strong tracking filter to get the center position. Then, STF-VSMM can form a two-double bestrow of the system mode space. At last, the paper realizes the accurate tracking of maneuvering target using STF-VSMM. Simulation results demonstrate that STF-VSMM estimator outperforms the corresponding fixed structure multiple model (FSMM) at a negligible extra computational cost.