Research of likely model set with system noise fuzzy adaptation algorithm

In maneuvering target tracking, since target´s maneuvering capability has greatly increased, it is more difficult to describe and found the target´s movement model. Now, variable structure multiple model (VSMM) algorithm is an effective method for strong maneuvering target tracking. Based on fuzzy control theory, it is proposed that a likely model set with system noise fuzzy adaptation (FNA-LMS) algorithm using two-dimensional fuzzy controller. The system noise of each model in VSMM algorithm is adjusted by self adaptation. Monte Carlo simulation comparison shows that FNA-LMS algorithm has better performance in tracking accuracy and computing efficiency than basic likely model set algorithm. Also it is convenient for application.