基于噪声卷积调制的SAR虚假信号生成新方法

黄大通 邢世其 刘业民 李永祯 肖顺平

黄大通, 邢世其, 刘业民, 等. 基于噪声卷积调制的SAR虚假信号生成新方法[J]. 雷达学报, 2020, 9(5): 898–907. doi: 10.12000/JR20094
引用本文: 黄大通, 邢世其, 刘业民, 等. 基于噪声卷积调制的SAR虚假信号生成新方法[J]. 雷达学报, 2020, 9(5): 898–907. doi: 10.12000/JR20094
HUANG Datong, XING Shiqi, LIU Yemin, et al. Fake SAR signal generation method based on noise convolution modulation[J]. Journal of Radars, 2020, 9(5): 898–907. doi: 10.12000/JR20094
Citation: HUANG Datong, XING Shiqi, LIU Yemin, et al. Fake SAR signal generation method based on noise convolution modulation[J]. Journal of Radars, 2020, 9(5): 898–907. doi: 10.12000/JR20094

基于噪声卷积调制的SAR虚假信号生成新方法

doi: 10.12000/JR20094
基金项目: 国家自然科学基金(61971429, 61901499)
详细信息
    作者简介:

    黄大通(1993–),男,博士研究生,主要研究方向为合成孔径雷达信号处理与对抗。E-mail:huangdatong68@163.com

    邢世其(1984–),男,副研究员,主要研究方向为极化雷达成像、雷达信号处理以及合成孔径雷达对抗。E-mail: xingshiqi_paper@163.com

    刘业民(1982–),男,博士,工程师,主要研究方向为雷达干扰与反干扰、极化雷达信号处理。E-mail: liuyemin2@163.com

    李永祯(1977–),男,研究员,博士生导师,主要研究方向为极化雷达与电子对抗。E-mail: e0061@sina.com

    肖顺平(1964–),男,教授,博士生导师,主要研究方向为极化信息处理、电子仿真与雷达目标识别、雷达电子对抗。E-mail: xiaoshunping_nudt@163.com

    通讯作者:

    邢世其 xingshiqi_paper@163.com

  • 责任主编:周峰 Corresponding Editor: ZHOU Feng
  • 中图分类号: TN95

Fake SAR Signal Generation Method Based on Noise Convolution Modulation

Funds: The National Natural Science Foundation of China (61971429, 61901499)
More Information
  • 摘要: 针对传统噪声卷积调制的合成孔径雷达(SAR)虚假信号方法存在距离向位置滞后、方位向压制范围不可控的缺陷,该文提出了一种改进的虚假信号生成方法。该方法首先对截获信号作快时间域移频调制,以控制掩护面的距离向位置;接着将其与经过了慢时间域滤波处理的噪声模板卷积,以控制掩护面积。理论分析与仿真结果表明,相比于传统噪声卷积调制,该文所提的方法可有效控制掩护面的距离向位置和面积,即使在较大侦察误差下仍能对局部场景实施掩护,提高了相同条件下的干扰能量利用率,对实际工程应用具有一定的参考价值。

     

  • 图  1  干扰场景的几何模型

    Figure  1.  The geometry model of jamming scenario

    图  2  传统噪声卷积调制的干扰结果

    Figure  2.  The imaging results of the traditional noise convolution modulation jamming

    图  3  距离向偏移量$\Delta {R_{{\rm{shif}}t}} = - 242 \;{\rm{m}}$,压制面积$300 \;{\rm{m}} \times {\rm{400}} \;{\rm{m}}$

    Figure  3.  Range offset $\Delta {R_{{\rm{shift}}}} = - 242 \;{\rm{m}}$, suppression area $300 {\rm{m}} \times {\rm{400}} \;{\rm{m}}$

    图  4  距离向偏移量$\Delta {R_{{\rm{shift}}}} = - 142 \;{\rm{m}}$,压制面积$100 \;{\rm{m}} \times {\rm{200}} \;{\rm{m}}$

    Figure  4.  Range offset $\Delta {R_{{\rm{shift}}}} = - 142 \;{\rm{m}}$, suppression area $100 \;{\rm{m}} \times {\rm{200}} \;{\rm{m}}$

    图  5  距离向偏移量$\Delta {R_{{\rm{shift}}}} = - 167 \;{\rm{m}}$,压制面积$20 \;{\rm{m}} \times 5{\rm{0}} \;{\rm{m}}$

    Figure  5.  Range offset $\Delta {R_{{\rm{shift}}}} = - 167 \;{\rm{m}}$, suppression area $20 \;{\rm{m}} \times 5{\rm{0}} \;{\rm{m}}$

    图  6  侦察误差下的干扰结果

    Figure  6.  The jamming results under reconnaissance error

    表  1  干扰增益对比

    Table  1.   The comparison of jamming gain

    干扰样式干扰参数干扰增益(dB)
    噪声模板的快时间宽度(s)噪声模板的慢时间单边带宽(Hz)理论值实验值
    传统噪声卷积调制干扰${{4}}{{.7}} \times {10^{ - 7}}$${{400}}$7.54677.8062
    ${{2}}{{.4}} \times {10^{ - 7}}$${{400}}$10.276510.7468
    ${{1}}{{.2}} \times {10^{ - 7}}$${{400}}$13.014713.6788
    本文所提干扰${{18}}{{.9}} \times {10^{ - {{6}}}}$${{283}}$4.09683.9470
    ${{9}}{{.4}} \times {10^{ - 7}}$${{94}}$11.215911.8195
    ${{2}}{{.4}} \times {10^{ - 7}}$${{19}}$23.541423.2726
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  • 收稿日期:  2020-07-07
  • 修回日期:  2020-09-17
  • 网络出版日期:  2020-10-28

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