An algorithm of the adaptive grid and fuzzy interacting multiple model

Abstract

This paper studies the algorithm of the adaptive grid and fuzzy interacting multiple model (AGFIMM) for maneuvering target tracking, while focusing on the problems of the fixed structure multiple model (FSMM) algorithm’s cost-efficiency ratio being not high and the Markov transition probability of the interacting multiple model (IMM) algorithm being difficult to determine exactly. This algorithm realizes the adaptive model set by adaptive grid adjustment, and obtains each model matching degree in the model set by fuzzy logic inference. The simulation results show that the AGFIMM algorithm can effectively improve the accuracy and cost-efficiency ratio of the multiple model algorithm, and as a result is suitable for engineering applications.

Keywords

maneuvering target tracking / adaptive grid / fuzzy logic inference / variable structure multiple model / adaptive grid and fuzzy interacting multiple model (AGFIMM) / interacting multiple model (IMM)