饶云华^{1, 2,,},
周健康¹,
万显荣^{1, 2},
龚子平^{1, 2},
柯亨玉^{1, 2}
1.武汉大学电子信息学院 武汉 430072
2.武汉大学深圳研究院 深圳 518063
基金项目:国家自然科学基金(U1933135, 61271400)，国家重点研发计划(2016YFB0502403)，湖北省技术创新专项重大项目(2016AAA017)，深圳市科技计划项目(JCYJ20170818112037398)

详细信息

作者简介:饶云华：男，1972年生，副教授，研究方向为新体制雷达、雷达系统设计、无线通信网等
周健康：男，1993年生，硕士生，研究方向为雷达电磁环境辨识、恒虚警检测
万显荣：男，1975年生，教授，研究方向为无源雷达、超视距雷 达、新体制雷达系统与雷达信号处理等
龚子平：男，1977年生，讲师，研究方向为电波传播与无线电海洋遥感等
柯亨玉：男，1957年生，教授，研究方向为电磁场理论、高频雷达海洋遥感技术

通讯作者:饶云华　ryh@whu.edu.cn

中图分类号:TN957.51

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出版历程

收稿日期:2019-12-23
修回日期:2020-10-20
网络出版日期:2020-12-08
刊出日期:2021-04-20

CFAR for Passive Radar Based on Dynamic Ordered Matrix

Yunhua RAO^{1, 2,,},
Jiankang ZHOU¹,
Xianrong WAN^{1, 2},
Ziping GONG^{1, 2},
Hengyu KE^{1, 2}
1. School of Electronic Information, Wuhan University, Wuhan 430072, China
2. Shenzhen Research Institute, Wuhan University, Shenzhen 518063, China
Funds:The National Natural Science Foundation of China (U1933135,61271400), The National Key Research and Development Project (2016YFB0502403), The Hubei Province Technology Innovation Special Major Project (2016AAA017), The Shenzhen Science and Technology Project (JCYJ20170818112037398)


摘要
摘要:外辐射源雷达采用不可控的第三方辐射源，其电磁传播条件复杂，尤其是在低空目标探测中，检测性能极大地受到杂波特性的影响，使得传统恒虚警算法性能明显下降。为了改善检测性能，该文提出一种基于雷达杂波空间划分的动态有序矩阵恒虚警检测算法(DOM-CFAR)。该算法将杂波空间从距离和多普勒维进行划分，构造为有序矩阵，再根据背景杂波变化进行动态极值替换、提取杂波估计中值用以计算检测阈值，从而使得检测算法阈值可动态适应杂波功率变化。仿真和实测结果表明，该算法可以在均匀杂波、多目标和杂波边缘等复杂情况下保持稳定的检测性能。
关键词:目标检测/
杂波矩阵/
杂波图/
恒虚警
Abstract:Passive radar uses third party radiation source, which is uncontrollable. Due to the complicated electromagnetic propagation conditions, especially in a low altitude target detection, the detection performance of the radar is greatly affected by clutters, leading to significant degradation of the performance of traditional constant false alarm algorithm. In order to improve the detection performance, a Dynamic Ordered Matrix Constant False Alarm Rate (DOM-CFAR) algorithm based on radar clutter space partition is proposed. In this algorithm, an ordered matrix is constructed after dividing the clutter space from distance and Doppler dimension. Then the dynamic extreme value is replaced according to the background clutter change and the estimated median value of clutter is extracted so as to calculate the detection threshold. This algorithm makes the threshold value of detection can dynamically adapt to the clutter power change. The simulation and measurement results show that the algorithm can maintain excellent detection performance under the complex environment with uniform clutter, multi-target and clutter edge.
Key words:Target detection/
Clutter matrix/
Clutter map/
Constant False Alarm Rate (CFAR)



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