摘要
为解决非合作双基地雷达目标跟踪面临的低检测概率和高杂波率问题,提出了改进的概率假设密度滤波器。首先,提出一种新的航迹标识与状态估计方法,并将存活概率定义为与目标状态相关的变量;随后,记录每个候选目标在每一时刻是否有量测的情况,采用序贯概率比检验区分真实目标和由杂波引起的假目标;最后,离线估计目标状态。仿真实验结果表明,所提算法明显提高了非合作双基地雷达目标跟踪的性能,可以有效解决低检测概率和高杂波率问题。
To solve the problem of low detection probability and high clutter rate in target tracking for noncooperative bistatic radar,an improved probability hypothesis density filter is proposed in this paper.Firstly,a new method of track identification and state estimation is proposed.Secondly,the survival probability is defined as a variable related to the target state.Thirdly,whether each candidate target is measured at each time is recorded,and real target and false target caused by clutter are distinguished using sequential probability ratio test.Finally,the target state is estimated offline.Simulation experiment results indicate that the proposed algorithm significantly improves the performance of target tracking for noncooperative bistatic radar,and can deal with the problem of low detection probability and high clutter rate effectively.
作者
王森
鲍庆龙
潘嘉蒙
祝茜
WANG Sen;BAO Qinglong;PAN Jiameng;ZHU Qian(College of Electronic Science and Technology,National University of Defense Technology,Changsha 410073,China;National Key Laboratory of Science and Technology on ATR,National University of Defense Technology,Changsha 410073,China;Beijing Institute of Remote Sensing,Beijing 100192,China)
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2023年第7期2002-2009,共8页
Systems Engineering and Electronics
关键词
非合作双基地雷达
目标跟踪
改进概率假设密度滤波器
序贯概率比检验
noncooperative bistatic radar
target tracking
improved probability hypothesis density filter
sequential probability ratio test
