一种新的高脉冲重复频率雷达多假设跟踪方法  

New Multiple Hypothesis Tracking Algorithms for HPRF Radar

作　　者：王娜[1,2] 王国宏[1] 刘兆磊[3] 何友[1] 

机构地区：[1]海军航空工程学院 [2]中国人民解放军92941部队 [3]南京电子技术研究所

出　　处：《现代防御技术》2011年第4期112-117,共6页Modern Defence Technology

基　　金：国家自然基金项目(6072159);航空科学基金项目(20085184003);"泰山学者"建设工程专项经费资助项目

摘　　要：高脉冲重复频率雷达目标跟踪时面临解距离模糊问题。现有方法需要在每个驻留时间内至少2帧检测到目标才能解距离模糊,新近提出的多假设方法虽然可以克服这一不足,但当模糊区间发生变化时会出现解距离模糊错误的情况。针对该问题,提出一种新的多假设方法,基于统计距离最小原则获取正确假设区间以实现目标跟踪,从而克服了现有多假设方法的不足。仿真表明该方法的收敛速度和跟踪精度均优于现有多假设方法。High pulse repetition frequency （HPRF） radar has range ambiguity problem when tracking target. It is required to detect target by at least two frames in a dwell for the current methods to resolve range ambiguity. Although recently proposed multiple hypothesis tracking the deficiency of the current methods, it will resolve incorrectly range ambiguity changes. Therefore, a new multiple hypothesis tracking algorithm is proposed wh ing by choosing the correct hypothesis interval based on the princi the shortcoming of the current multiple hypothesis are overcome ple of Simul algorithm can overcome when ambiguity interval ich realizes target trackthe minimal statistic distance, so ation results demonstrate that the proposed method is superior to the existing muhiple hypothesis method in tracking performance on convergence time and tracking precision.

关 键 词：高脉冲重复频率 目标跟踪 距离模糊 多假设方法 统计距离 

分 类 号：TN958[电子电信—信号与信息处理] TP391.9[电子电信—信息与通信工程]