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基于最大熵法和遗传算法的SMSP干扰对抗方法

周长霖 王春阳 宫健 谭铭 赵英健

周长霖, 王春阳, 宫健, 等 . 基于最大熵法和遗传算法的SMSP干扰对抗方法[J]. 北京航空航天大学学报, 2022, 48(3): 447-453. doi: 10.13700/j.bh.1001-5965.2020.0584
引用本文: 周长霖, 王春阳, 宫健, 等 . 基于最大熵法和遗传算法的SMSP干扰对抗方法[J]. 北京航空航天大学学报, 2022, 48(3): 447-453. doi: 10.13700/j.bh.1001-5965.2020.0584
ZHOU Changlin, WANG Chunyang, GONG Jian, et al. SMSP jamming countermeasure method based on maximum entropy method and genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(3): 447-453. doi: 10.13700/j.bh.1001-5965.2020.0584(in Chinese)
Citation: ZHOU Changlin, WANG Chunyang, GONG Jian, et al. SMSP jamming countermeasure method based on maximum entropy method and genetic algorithm[J]. Journal of Beijing University of Aeronautics and Astronautics, 2022, 48(3): 447-453. doi: 10.13700/j.bh.1001-5965.2020.0584(in Chinese)

基于最大熵法和遗传算法的SMSP干扰对抗方法

doi: 10.13700/j.bh.1001-5965.2020.0584
基金项目: 

中国博士后科学基金 2019M662257

航空科学基金 201901096002

详细信息
    通讯作者:

    王春阳, E-mail: wangcy_kgd@163.com

  • 中图分类号: TN974

SMSP jamming countermeasure method based on maximum entropy method and genetic algorithm

Funds: 

China Postdoctoral Science Foundation 2019M662257

Aeronautical Science Foundation of China 201901096002

More Information
  • 摘要:

    线性调频(LFM)信号是现代雷达常用的发射信号,可以有效提高雷达的检测性能,然而频谱弥散(SMSP)干扰应用于主瓣自卫式干扰时,干扰信号强度远大于目标回波信号,能够对目标回波信号形成遮盖,是一种有效对抗LFM信号的干扰样式。利用干扰信号与目标回波信号时频特征的不同,通过广义S变换(GST)凸显时频特征差异。运用最大熵法和遗传算法(GA)求取时频滤波器的分割阈值。通过构造的时频滤波器达到干扰抑制的目的。仿真结果表明:当干信比(JSR)大于10 dB、信噪比(SNR)大于0 dB时, 所提方法具有较好的干扰抑制效果,其中最大信干噪比(SJNR)增益接近25 dB。

     

  • 图 1  SMSP干扰原理[2]

    Figure 1.  Schematic of SMSP jamming[2]

    图 2  LFM信号与SMSP干扰信号时频分布

    Figure 2.  Time-frequency distribution of LFM signal and SMSP jamming signal

    图 3  雷达接收信号与目标回波信号匹配滤波

    Figure 3.  Matched filtering of received radar signal and target echo signal

    图 4  雷达接收信号与目标回波信号时频图

    Figure 4.  Time-frequency diagram of received radar signal and target echo signal

    图 5  雷达接收信号与目标回波信号灰度图

    Figure 5.  Grayscale map of received radar signal and target echo signal

    图 6  雷达接收信号与目标回波信号灰度直方图

    Figure 6.  Grayscale histogram of received radar signal and target echo signal

    图 7  分割后的灰度图

    Figure 7.  Grayscale image after segmentation

    图 8  滤除干扰后的时频图

    Figure 8.  Time-frequency diagram after filtering out interference

    图 9  干扰抑制后接收雷达信号与目标回波信号匹配滤波

    Figure 9.  Received radar signal and target echo signal matched filtering after jamming suppression

    图 10  SJNR增益随SNR变化

    Figure 10.  Change of SJNR gain with SNR

    图 11  SJNR增益随JSR变化

    Figure 11.  Change of SJNR gain with JSR

    表  1  遗传算法参数

    Table  1.   Genetic algorithm parameters

    参数 数值
    种群数 20
    交叉概率 0.6
    变异概率 0.01
    最大迭代代数 100
    下载: 导出CSV
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出版历程
  • 收稿日期:  2020-10-15
  • 录用日期:  2021-01-15
  • 刊出日期:  2022-03-20

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