交互式多模型Kalman滤波算法的研究

现代雷达在进行目标跟踪时常常采取卡尔曼滤波作为滤波方法,此种滤波方法只适用于单目标单一运动模型,对于高机动目标的预测结果往往不尽人意。因此文章针对高机动目标采用交互式多模型滤波方法。模拟三种运动方式,匀速,慢加速,快加速过程。采用三种不同运动模型对目标航迹进行滤波。并对真实航迹,观测航迹,滤波航迹进行对比,并对此种滤波方法进行性能分析。

Kalman filter is often used as a filtering method in modern radar target tracking.This filtering method is only suitable for single target and single motion model.The prediction results of high maneuvering target are often unsatisfactory.Therefore,the interactive multiple model filtering method is used for high maneuvering targets in this paper.Simulation of three kinds of movement,i.e.,uniform,slow acceleration,fast acceleration processes.Three different motion models are used to filter the target point trace.The real track,observed track and filtered track are compared,and the performance of this filtering method is analyzed.