基于模糊逻辑的交互式多模型滤波算法

Interactive multiple model filtering algorithm based on fuzzy logic

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。

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.