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基于压缩感知的单脉冲雷达欺骗干扰机研究

王彩云 何志勇 宫俊

王彩云, 何志勇, 宫俊等 . 基于压缩感知的单脉冲雷达欺骗干扰机研究[J]. 北京航空航天大学学报, 2017, 43(9): 1789-1797. doi: 10.13700/j.bh.1001-5965.2016.0723
引用本文: 王彩云, 何志勇, 宫俊等 . 基于压缩感知的单脉冲雷达欺骗干扰机研究[J]. 北京航空航天大学学报, 2017, 43(9): 1789-1797. doi: 10.13700/j.bh.1001-5965.2016.0723
WANG Caiyun, HE Zhiyong, GONG Junet al. Research on deception jammer against monopulse radar based on compressed sensing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1789-1797. doi: 10.13700/j.bh.1001-5965.2016.0723(in Chinese)
Citation: WANG Caiyun, HE Zhiyong, GONG Junet al. Research on deception jammer against monopulse radar based on compressed sensing[J]. Journal of Beijing University of Aeronautics and Astronautics, 2017, 43(9): 1789-1797. doi: 10.13700/j.bh.1001-5965.2016.0723(in Chinese)

基于压缩感知的单脉冲雷达欺骗干扰机研究

doi: 10.13700/j.bh.1001-5965.2016.0723
基金项目: 

国家自然科学基金 61301211

江苏高校优势学科建设工程资助项目 

详细信息
    作者简介:

    王彩云  女, 博士, 副教授, 硕士生导师; 主要研究方向:雷达信号处理和雷达目标识别方法、电子对抗

    何志勇  男, 硕士研究生; 主要研究方向:雷达电子对抗

    宫俊  男, 硕士研究生; 主要研究方向:ISAR雷达成像

    通讯作者:

    王彩云, E-mail:wangcaiyun@nuaa.edu.cn

  • 中图分类号: V243.2;TN972.3

Research on deception jammer against monopulse radar based on compressed sensing

Funds: 

National Natural Science Foundation of China 61301211

A Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions 

More Information
  • 摘要:

    欺骗干扰是一种常用的雷达干扰技术,提出了一种对抗单脉冲雷达的欺骗干扰机设计新方法。在分析欺骗干扰信号特性基础上,基于压缩感知(CS)框架和数字射频存储(DRFM)技术,根据线性调频(LFM)信号在分数阶傅里叶域的能量聚集特性,设计了压缩感知框架下的DRFM以产生角度欺骗干扰信号;通过控制干扰信号强度产生角度拖引和闪烁干扰以实现对单脉冲雷达角度跟踪的有效干扰。仿真实验结果表明,干扰机能够产生良好的角度欺骗干扰信号,通过干扰信号强度控制能够产生稳定的角度拖引和闪烁干扰。

     

  • 图 1  相干干扰原理

    Figure 1.  Principle of coherent jamming

    图 2  DRFM压缩感知相干干扰机模型

    Figure 2.  Model of CS-DRFM coherent jammer

    图 3  LFM源信号(SNR=5 dB)

    Figure 3.  LFM source signal (SNR=5 dB)

    图 4  LFM信号在FRFT域二维分布(SNR=5 dB)

    Figure 4.  Two-dimensional distribution of LFM signal in FRFT domain (SNR=5 dB)

    图 5  LFM信号稀疏表示结果(SNR=5 dB)

    Figure 5.  Sparse representation of LFM signal (SNR=5 dB)

    图 6  稀疏系数重构结果(SNR=5 dB)

    Figure 6.  Reconstruction of sparse coefficient (SNR=5 dB)

    图 7  压缩恢复信号(SNR=5 dB)

    Figure 7.  Compressive recovery signal (SNR=5 dB)

    图 8  压缩感知损耗因子

    Figure 8.  Loss factor of compressed sensing

    图 9  单脉冲雷达测角系统框架

    Figure 9.  Framework of monopulse radar system

    图 10  不同干扰信号强度比下测角误差

    Figure 10.  Angle measurement error at different interference signal intensity ratios

    图 11  不同相位差下测角误差

    Figure 11.  Angle measurement error under different phase offset

    图 12  不同回波信号强度比下测角误差

    Figure 12.  Angle measurement error under different echo signal intensity ratios

    图 13  不同信噪比下测角误差

    Figure 13.  Angle measurement error under different SNR

    图 14  拖引干扰示意图[12]

    Figure 14.  Schematic diagram of pull-off jamming[12]

    图 15  角度跟踪滤波仿真结果

    Figure 15.  Simulation results of angle tracking filter

    表  1  单脉冲雷达测角系统各模块模型

    Table  1.   Module models of monopulse radar system

    系统模块 模块参数模型
    天线模块 改进sinc函数模型
    噪声模块 高斯白噪声
    目标模块 点目标
    信号模块 LFM信号
    测角模块 比幅测角
    下载: 导出CSV

    表  2  角闪烁干扰仿真结果

    Table  2.   Simulation results of angle glint jamming

    闪烁时间 干扰机1相对强度 干扰机2相对强度 干扰信号强度比 误差角度/(°)
    nΔTtnΔTT/2 100 99 b=0.99 1.97
    nΔTT/2 < t≤(n+1)ΔT 98 99 bI=0.99 -2.03
    下载: 导出CSV
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出版历程
  • 收稿日期:  2016-09-07
  • 录用日期:  2016-12-09
  • 网络出版日期:  2017-09-20

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