系统工程与电子技术 ›› 2023, Vol. 45 ›› Issue (7): 2002-2009.doi: 10.12305/j.issn.1001-506X.2023.07.10

• 传感器与信号处理 • 上一篇    下一篇

基于改进概率假设密度滤波器的非合作双基地雷达目标跟踪

王森1,2, 鲍庆龙1,2,*, 潘嘉蒙1,2, 祝茜3   

  1. 1. 国防科技大学电子科学学院, 湖南 长沙 410073
    2. 国防科技大学ATR重点实验室, 湖南 长沙 410073
    3. 北京遥感信息研究所, 北京 100192
  • 收稿日期:2021-10-18 出版日期:2023-06-30 发布日期:2023-07-11
  • 通讯作者: 鲍庆龙
  • 作者简介:王森 (1993—), 男, 博士研究生, 主要研究方向为雷达目标跟踪、非合作双基地雷达
    鲍庆龙 (1981—), 男, 研究员, 博士, 主要研究方向为雷达系统设计、雷达信号处理
    潘嘉蒙 (1992—), 男, 讲师, 博士, 主要研究方向为雷达信号处理
    祝茜 (1992—), 女, 助理研究员, 博士, 主要研究方向为雷达信号处理

Target tracking for noncooperative bistatic radar based on improved probability hypothesis density filter

Sen WANG1,2, Qinglong BAO1,2,*, Jiameng PAN1,2, Qian ZHU3   

  1. 1. College of Electronic Science and Technology, National University of Defense Technology, Changsha 410073, China
    2. National Key Laboratory of Science and Technology on ATR, National University of Defense Technology, Changsha 410073, China
    3. Beijing Institute of Remote Sensing, Beijing 100192, China
  • Received:2021-10-18 Online:2023-06-30 Published:2023-07-11
  • Contact: Qinglong BAO

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。

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

Abstract:

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.

Key words: noncooperative bistatic radar, target tracking, improved probability hypothesis density filter, sequential probability ratio test

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