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.