组网无源雷达高速多目标初始化及跟踪算法  

Joint initialization of high-speed targets via multistatic passive-radar measurements and its tracking algorithm

作　　者：胡子军[1] 张林让[1] 赵珊珊[1] 王敬丽[1] 

机构地区：[1]西安电子科技大学雷达信号处理国家重点实验室,陕西西安710071

出　　处：《西安电子科技大学学报》2014年第6期25-30,110,共7页Journal of Xidian University

基　　金：国家自然科学基金资助项目(61001213);国家部委基础科研资助项目(B14xx193)

摘　　要：针对无源相参雷达系统多个高速机动目标跟踪问题,提出一种扩展的多模型概率假设密度滤波器的粒子滤波实现方法.传统的多模型概率假设密度滤波器假定新生目标的强度函数先验已知,但是无源雷达背景下新生目标可在监视区域任意位置出现,且速度取值范围大,此时传统方法失效.基于传统多模型概率假设密度滤波器,利用各时刻远离多目标状态估计的定位结果,自适应初始化各时刻新出现的目标,有效跟踪多个高速机动目标.仿真实验验证了该方法的有效性.A new extension of the sequential Monte Carlo multiple-model probability hypothesis density （SMC-MMPHD） filter is presented in order to track multiple high-speed maneuvering targets via passive coherent location （PCL） radar.With the standard MMPHD filter it is assumed that the target birth intensity is known a priori,but in PCL radar where the targets can appear anywhere in the surveillance volume and the velocity range is wide,this is clearly inefficient.The extension enables us to adaptively initialize the new targets at each scan using the localization results of the measurements which are far away from the current estimated multi-target states and to effectively track multiple high-speed maneuvering targets.Simulation results show that the proposed method is viable.

关 键 词：无源相参雷达 机动目标跟踪 高速 新生目标初始化 概率假设密度 

分 类 号：TN953[电子电信—信号与信息处理]