多假目标干扰下组网雷达机动目标跟踪方法

摘要

针对距离多假目标干扰下,单站雷达视角单一,获取信息量少,对机动目标跟踪效果不佳的问题,提出了多假目标干扰下基于组网雷达的机动目标跟踪方法.该方法通过信号似然比预处理与卡方检验相结合进行量测分组,根据多假目标的空间分布特点求解"中心量测",并基于该量测进行球坐标系下的径向最近距离关联,最终在交互式多模型算法(Interacting Multiple Model,IMM)的框架下实现对机动目标的高精度跟踪.仿真结果表明,通过对目标量测的准确选择与融合,相比类似方法,平均位置均方根误差减小了57%,平均速度均方根误差减小了14%,且对机动目标也有较好的适应能力.%When facing the multi-range-false-target jamming,a single station radar is of poor performance on maneuvering target tracking since its single angle of view and the limitation of getting information.To solve this problem,a tracking method of maneuvering target was proposed for radar network in this paper.This method divided measurements by a signal likelihood ratio and chi-square algorithm in the first,then,using the spatial distribution of multi-range-false-target to solve the"center measurement"and find the nearest distance measure-ment based on the measurement in spherical coordinate system.Finally,a high-precision tracking of maneuve-ring target was realized in the framework of interacting multiple model(IMM).The simulation results showed that,comparing with the similar algorithms,the proposed methodˊs position/speed mean square root was re-duced by 57%/14% by accurate selection and fusion of the target measurement,and the proposed method also had a better adaptability for maneuvering target tracking.