基于压缩感知的认知雷达多目标跟踪方法

杨军 张群 罗迎 邓冬虎

杨军, 张群, 罗迎, 邓冬虎. 基于压缩感知的认知雷达多目标跟踪方法[J]. 雷达学报, 2016, 5(1): 90-98. doi: 10.12000/JR14107
引用本文: 杨军, 张群, 罗迎, 邓冬虎. 基于压缩感知的认知雷达多目标跟踪方法[J]. 雷达学报, 2016, 5(1): 90-98. doi: 10.12000/JR14107
Yang Jun, Zhang Qun, Luo Ying, Deng Donghu. Method for Multiple Targets Tracking in Cognitive Radar Based on Compressed Sensing[J]. Journal of Radars, 2016, 5(1): 90-98. doi: 10.12000/JR14107
Citation: Yang Jun, Zhang Qun, Luo Ying, Deng Donghu. Method for Multiple Targets Tracking in Cognitive Radar Based on Compressed Sensing[J]. Journal of Radars, 2016, 5(1): 90-98. doi: 10.12000/JR14107

基于压缩感知的认知雷达多目标跟踪方法

doi: 10.12000/JR14107
基金项目: 

国家自然科学基金(61172169, 61201369)和陕西省自然科学基础研究计划项目(2013JQ8008)

详细信息
    作者简介:

    杨军(1990-),男,安徽芜湖人,现为空军工程大学信息与导航学院硕士研究生。研究方向为雷达信号处理。E-mail:yangjunah@163.com张群(1964-),男,陕西合阳人,现为空军工程大学信息与导航学院教授,博士生导师,IEEESeniorMember,中国电子学会无线电定位技术分会委员,发表学术论文150余篇,其中SCI、EI检索80余次。研究方向为雷达信号处理、雷达成像和电子对抗。E-mail:zhangqunnus@gmail.com罗迎(1984-),男,湖南益阳人,现为空军工程大学信息与导航学院讲师,IEEEMember,中国电子学会会员,中国图象图形学会会员,发表学术论文70余篇,其中SCI、EI检索40余次。研究方向为雷达信号处理、雷达成像。E-mail:luoying2002521@163.com

    通讯作者:

    杨军yangjunah@163.com

Method for Multiple Targets Tracking in Cognitive Radar Based on Compressed Sensing

Funds: 

The National Natural Science Foundation of China (61172169, 61201369), The Natural Science Foundation Research Project of Shaanxi Province (2013JQ8008)

  • 摘要: 该文提出了一种基于压缩感知的认知雷达跟踪方法,该方法将压缩感知理论引入到认知雷达跟踪的问题中。通过对回波信号的稀疏表示,完成稀疏变换矩阵和观测矩阵的设计,实现了降采样条件下量测信号的重构。在系统的接收端,考虑到传统的粒子滤波容易陷入局部最优,对粒子数目要求大等问题,采用了粒子群优化的粒子滤波来对目标状态进行实时估计。在系统的发射端,采用优化后验克拉美罗界(Posterior Cramr-Rao Bounds, PCRB)设计了雷达发射波形参数,降低了对目标跟踪精度的PCRB。仿真表明,相比于传统跟踪方法,该文所提跟踪方法不仅有效地减少了雷达的数据量,而且较大地提高了目标的跟踪性能。

     

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出版历程
  • 收稿日期:  2014-08-25
  • 修回日期:  2014-10-31

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