刘泉华,,
胡程
北京理工大学信息与电子学院雷达技术研究所 ??北京 ??100081
北京市嵌入式实时信息处理技术重点实验室 ??北京 ??100081
基金项目:高等学校学科创新引智计划(B14010)，“****奖励计划”(T2012122)
详细信息
作者简介:周超：周 超(1987–)，江苏扬州人，现为北京理工大学雷达技术研究所博士后，研究方向为雷达抗干扰、雷达目标检测跟踪算法。E-mail: 7520180050@bit.edu.cn
刘泉华(1982–)，福建永定人，现为北京理工大学雷达技术研究所副教授，研究方向为高分辨雷达系统及信号处理。E-mail: liuquanhua@bit.edu.cn
胡程：胡 程(1981–)，湖南岳阳人，现为北京理工大学雷达技术研究所研究员，博士生导师，研究方向为新体制雷达成像技术、雷达信号处理。E-mail: hucheng@bit.edu.cn
通讯作者:刘泉华 ? liuquanhua@bit.edu.cn
中图分类号:TN972计量
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出版历程
收稿日期:2018-09-25
修回日期:2018-12-14
网络出版日期:2019-01-24
Time-frequency Analysis Techniques for Recognition and Suppression of Interrupted Sampling Repeater Jamming
ZHOU Chao,LIU Quanhua,,
HU Cheng
School of Information and Electronics, Beijing Institute of Technology, Beijing 100081, China
Key Laboratory of Embedded Real-time Information Processing Technology, Beijing 100081, China
Funds:The 111 Project of China (B14010), The Chang Jiang Scholar Program (T2012122)
More Information
Corresponding author:LIU Quanhua, liuquanhua@bit.edu.cn
摘要
摘要:间歇采样转发式干扰利用数字射频存储器(DRFM)对雷达发射信号进行截获与转发，具有小型化、轻量化和灵活多变的优势，可搭载在目标上形成多点源主瓣干扰，对现代雷达构成了严重威胁。该文对上述干扰的辨识与抑制方法进行了研究。通过推导干扰脉冲压缩与时频分布的解析表达式，分析了目标回波与典型干扰信号的时频特征差异；在此基础上，提出一种时频域干扰辨识方法，并构造时频域滤波器进行干扰抑制。仿真结果表明：在原始信号干噪比大于–3 dB的情况下，算法辨识率可达90%；在此基础上，通过时频域滤波可以对3种典型策略下干扰都进行有效抑制，其峰值信干噪比改善可达18 dB。
关键词:转发式干扰/
时频分析/
干扰辨识/
干扰抑制
Abstract:Through partial intercepting and multiple forwarding of a radar transmitting signal, Digital Radio Frequency Memory (DRFM)-based Interrupted Sampling Repeater Jamming (ISRJ) possesses advantages of small size, light weight, and flexibility. Thus, DRFM-ISRJ can be equipped on targets to perform multi-point source main-lobe jamming, posing a serious threat to modern radars. In this study, a time-frequency domain recognition and suppression method was analyzed. First, the expression of pulse compression and Time-Frequency Distribution (TFD) of the jamming signal were deduced. Then, the differences of TFD between target echo and jamming signal were analyzed. On this basis, a jamming recognition program and a time-frequency domain filter to suppress the jamming were proposed. Simulation results show that the recognition rate is better than 90% when the jamming-to-noise ratio is over –3 dB for the received signal. Based on correct recognition, a signal to jamming-and-noise ratio improvement of 18 dB can be achieved using the time-frequency filter.
Key words:Repeater jammer/
Time-frequency analysis/
Jamming recognition/
Jamming suppression
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