刘平羽^{1, 2, 3,},
吕晓德^{1, 2,,},
刘忠胜^{1, 2},
张汉良^{1, 2, 3,}
1.中国科学院空天信息创新研究院 北京 100190
2.微波成像技术国家级重点实验室 北京 100190
3.中国科学院大学 北京 100049
基金项目:国家自然科学基金(61771453)，国家部委基金

详细信息

作者简介:刘平羽(1994–)，男，江苏人，西安电子科技大学学士，中国科学院空天信息创新研究院硕士研究生，主要研究方向为基于民用通信信号的无源雷达信号处理。E-mail: liupingyu17@mails.ucas.ac.cn
吕晓德(1969–)，男，中国科学院空天信息创新研究院研究员，研究方向为阵列天线及其信号处理、先进雷达探测技术和天线新技术及其应用。长期从事雷达信号处理技术的研究，曾获国家科技进步一等奖、省部级科技进步二等奖各一项。E-mail: louee@mail.ie.ac.cn
张汉良(1993–)，男，内蒙古人，吉林大学学士，中国科学院空天信息创新研究院硕士研究生，研究方向为无源雷达信号处理。E-mail: zhanghanliang16@mails.ucas.ac.cn

通讯作者:吕晓德 louee@mail.ie.ac.cn

责任主编：万显荣 Corresponding Editor: WAN Xianrong
中图分类号:TN958.97

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出版历程

收稿日期:2019-04-05
修回日期:2019-06-03
网络出版日期:2019-08-05

Research on Co-channel Interference Suppression Method for Passive Radar Based on the Jiont Processing of Primary and Reference Channels

LIU Pingyu^{1, 2, 3,},
LYU Xiaode^{1, 2,,},
LIU Zhongsheng^{1, 2},
ZHANG Hanliang^{1, 2, 3,}
1. Aerospace Information Research Institule, Chinese Academy of Sciences, Beijing 100190, China
2. National Key Lab of Microwave Imaging Technology, Beijing 100190, China
3. University of Chinese Academy of Sciences, Beijing 100049, China
Funds:The National Natural Science Foundation of China (61771453), The National Ministries Foundation

More Information

Corresponding author:LYU Xiaode, louee@mail.ie.ac.cn

摘要
摘要:基于民用通信信号的无源雷达由于其辐射源分布密集，主通道与参考通道容易同时受同频辐射源干扰，严重影响检测效果。针对上述问题，该文提出了一种加入同频干扰抑制的信号处理流程。改进流程首先对所有通道接收信号联合处理，使用多通道盲反卷积算法估计各个辐射源直达波，再利用各通道主辐射源信号能量占比差异识别主辐射源直达波作为参考信号，然后对主通道中各辐射源杂波信号进行对消，最后用主辐射源直达波与对消剩余信号进行互模糊运算，完成目标检测。改进流程可以在不改变现有系统硬件条件的情况下有效抑制同频干扰，提升对消比，降低互模糊函数底噪，减少漏警。仿真分析与实测数据验证说明了该方法的正确性和有效性。
关键词:无源雷达/
民用通信信号/
同频干扰抑制/
联合处理/
多通道盲反卷积
Abstract:The illuminators of passive radar based civil communication signals are densely distributed. As a result, the co-channel illuminator always interferes with the primary and reference channels, resulting in poor detection performance. To solve the aforementioned problem, an improved signal processing flow with co-channel interference suppression is proposed in this paper. First, signals from all channels were processed jointly. The direct-path wave of each illuminator was estimated using the multi-channel blind deconvolution algorithm. Then, the direct-path wave of the primary illuminator was identified as the reference signal by applying the difference in the proportion of the primary illuminator signal energy among channels. Then, the clutter of each illuminator in the primary channel was suppressed by utilizing each of the above estimated signals. Finally, the residual signal, after cancellation, was used to compute the cross-ambiguity functions with the identified direct-path wave of the primary illuminator for target detection. The improved flow can promote the cancellation ratio and reduce the bottom noise of the cross-ambiguity function and missed alarm. Co-channel interference can be effectively suppressed using the improved processing flow without changing the radar system’s hardware. The validity of the proposed method were confirmed by the results of the simulation and experiment.
Key words:Passive radar/
Civil communication signal/
Co-channel interference suppression/
Joint processing/
Multi-channel blind deconvolution



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