基于模糊逻辑的交互式多模型滤波算法

针对交互式多模型（IMM）滤波算法在对反舰导弹的"蛇形"机动方式进行跟踪时收敛速度慢、滤波精度低的问题。在三维空间内,假定目标以匀速直线和"蛇形"机动2种方式进行运动,以相对距离和视线角为观测信息,对IMM滤波算法的模型概率更新模块进行改进,提出了基于模糊逻辑的交互式多模型（FLIMM）滤波算法。通过仿真对比分析,改进后的算法能够有效地提高收敛速度,进而获得更高的跟踪精度。

Interactive multiple model filtering algorithm based on fuzzy logic

The convergence speed and the filtering precision are poor when the interactive multiple model (IMM) filtering algorithm is applied to track the anti-ship missile in S maneuver.Thus a fuzzy logic interactive multiple model (FLIMM) filtering algorithm is proposed by improving the model probability updating module of IMM filtering algorithm in three-dimensional space.Taking relative distance and angle of sight as observation information,the algorithm assumes that the target moves in two modes:uniform motion in a straight line and S maneuver.The simulation shows that the proposed algorithm can improve the convergence speed effectively and achieve higher tracking accuracy.