基于差分特征的间歇采样转发干扰辨识与抑制方法

盖季妤 姜维 张凯翔 梁振楠 陈新亮 刘泉华

盖季妤, 姜维, 张凯翔, 等. 基于差分特征的间歇采样转发干扰辨识与抑制方法[J]. 雷达学报, 2022, 11(4): 1–11. doi: 10.12000/JR22058
引用本文: 盖季妤, 姜维, 张凯翔, 等. 基于差分特征的间歇采样转发干扰辨识与抑制方法[J]. 雷达学报, 2022, 11(4): 1–11. doi: 10.12000/JR22058
GAI Jiyu, JIANG Wei, ZHANG Kaixiang, et al. A method for interrupted-sampling repeater jamming identification and suppression based on differential features[J]. Journal of Radars, 2022, 11(4): 1–11. doi: 10.12000/JR22058
Citation: GAI Jiyu, JIANG Wei, ZHANG Kaixiang, et al. A method for interrupted-sampling repeater jamming identification and suppression based on differential features[J]. Journal of Radars, 2022, 11(4): 1–11. doi: 10.12000/JR22058

基于差分特征的间歇采样转发干扰辨识与抑制方法

doi: 10.12000/JR22058
基金项目: 国家自然科学基金(61771050),电子信息控制重点实验室开放基金(6142105190313),重庆市自然科学基金(2020ZX3100039)
详细信息
    作者简介:

    盖季妤(1997-),女,山东人。北京理工大学信息与电子学院硕士研究生。主要研究方向为干扰辨识与抑制、自适应阵列信号处理、扩展目标检测

    姜 维(1981-),男,重庆人。2011年在哈尔滨工业大学获得博士学位,现为电子信息控制重点实验室高级工程师。主要研究方向为阵列信号处理、雷达信号处理,目前已发表论文15篇

    张凯翔(1991-),男,山西人。北京理工大学信息与电子学院博士研究生。主要研究方向为分布式阵列雷达抗干扰

    梁振楠(1992-),男,山西人。2020年在北京理工大学获得博士学位,现为北京理工大学信息与电子学院博士后。主要研究方向为数字阵列雷达系统和宽带雷达信号处理

    陈新亮(1984-),男,湖北人。2010年在中国科学院半导体研究所获得博士学位,现为北京理工大学信息与电子学院讲师、硕士生导师。主要研究方向为自适应阵列信号处理、双/多基地合成孔径雷达成像

    刘泉华(1982-),男,福建人。2010年在北京理工大学获得博士学位,现为北京理工大学信息与电子学院教授、博士生导师。主要研究方向为高分辨雷达、分布式雷达系统及信号处理

    通讯作者:

    陈新亮 chenxinliang@bit.edu.cn

  • 责任主编:全英汇 Corresponding Editor: QUAN Yinghui
  • 中图分类号: TN974

A Method for Interrupted-Sampling Repeater Jamming Identification and Suppression Based on Differential Features

Funds: The National Natural Science Foundation of China (61771050), Science and Technology on Electronic Information Control Laboratory (6142105190313), The Natural Science Foundation of Chongqing (2020ZX3100039)
More Information
  • 摘要: 间歇采样转发式干扰机通过对其接收到的雷达发射信号进行采样、存储、处理和多次转发,在雷达接收端形成逼真的假目标干扰效果。为提升上述干扰场景下的雷达探测性能,该文提出了一种新的信号差分特征提取方法,在此基础上,利用目标回波和干扰信号在差分特征空间的差异设计判决准则,从而在有效辨识并抑制干扰的同时实现目标检测。仿真结果表明:该方法干扰抑制效果显著,相比于3种典型的时频域滤波算法等效信噪比改善4.2 dB以上。

     

  • 图  1  间歇采样转发干扰示意图

    Figure  1.  Schematic diagram of ISRJ

    图  2  目标与间歇采样转发干扰差分特征对比

    Figure  2.  Comparison of the differential features between target and ISRJ

    图  3  基于差分特征的间歇采样转发干扰辨识与抑制流程图

    Figure  3.  Flow chart of the ISRJ identification and suppression based on differential features

    图  4  不同干噪比、信噪比下,干扰、目标处差分特征能量比值的概率分布

    Figure  4.  The probability distribution of differential features energy ratio under different jamming-to-noise ratio and signal-to-noise ratio for ISRJ and target

    图  5  由最小错误概率准则确定辨识门限$\epsilon $

    Figure  5.  The determination of identification threshold $\epsilon $ by minimizing the probability of error

    图  6  仿真数据间歇采样转发干扰辨识与抑制结果

    Figure  6.  ISRJ identification and suppression results for simulation data

    图  7  目标检测概率

    Figure  7.  Target detection probability

    图  8  4种方法检测性能对比(仿真数据)

    Figure  8.  The detection performance comparison of the four methods (simulation data)

    图  9  实测数据间歇采样转发干扰辨识与抑制结果

    Figure  9.  ISRJ identification and suppression results for measured data

    图  10  时频图

    Figure  10.  Time-Frequency distribution

    表  1  归一化差分序列

    Table  1.   Normalized differential sequence

    M各项系数$ {c_M}(m),m = 0,1, \cdots ,M - 1 $
    11
    2$ 1/\sqrt{2},-1/\sqrt{2} $
    3$ 1/\sqrt{6},-2/\sqrt{6},1/\sqrt{6} $
    4$ 1/2\sqrt{5},-3/2\sqrt{5},3/2\sqrt{5},-1/2\sqrt{5} $
    5$ 1/\sqrt{70},-4/\sqrt{70},6/\sqrt{70},-4/\sqrt{70},1/\sqrt{70} $
    下载: 导出CSV

    表  2  仿真数据信源参数

    Table  2.   Source parameters for simulation data

    信源波形参数脉压后信(干)噪比
    目标脉宽100 μs,带宽5 MHz10~50 dB,间隔1 dB
    干扰1切片宽度16.67 μs,切片1次重复转发5次10~50 dB,间隔1 dB
    干扰2切片宽度10 μs,切片1次立即重复转发2次,共切片3次10~50 dB,间隔1 dB
    下载: 导出CSV

    表  3  仿真参数

    Table  3.   Simulation parameters

    参数数值
    常规检测门限13.82
    最高差分阶数6
    辨识门限1.79
    下载: 导出CSV

    表  4  不同干噪比下,检测概率为95%时所需的信噪比

    Table  4.   When the detection probability is 95%, the required signal-to-noise ratios under different jamming-to-noise ratios

    干噪比(dB)所需信噪比(dB)
    无干扰15.5
    1017.9
    2017.4
    3021.4
    4029.5
    5038.5
    下载: 导出CSV

    表  5  实测数据信源参数

    Table  5.   Source parameters for measured data

    目标参数数值干扰参数数值
    脉宽(μs)20脉宽(μs)10
    带宽(MHz)2带宽(MHz)1
    脉压后信噪比(dB)33脉压后信噪比(dB)45
    下载: 导出CSV
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出版历程
  • 收稿日期:  2022-04-02
  • 修回日期:  2022-05-24
  • 网络出版日期:  2022-06-21

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