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博弈条件下雷达波形设计策略研究

李伟 王泓霖 郑家毅 徐建业 赵俊龙 邹鲲

李伟, 王泓霖, 郑家毅, 徐建业, 赵俊龙, 邹鲲. 博弈条件下雷达波形设计策略研究[J]. 电子与信息学报, 2019, 41(11): 2654-2660. doi: 10.11999/JEIT190114
引用本文: 李伟, 王泓霖, 郑家毅, 徐建业, 赵俊龙, 邹鲲. 博弈条件下雷达波形设计策略研究[J]. 电子与信息学报, 2019, 41(11): 2654-2660. doi: 10.11999/JEIT190114
Wei LI, Honglin WANG, Jiayi ZHENG, Jianye XU, Junlong ZHAO, Kun ZOU. Research on Radar Waveform Design Strategy under Game Condition[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2654-2660. doi: 10.11999/JEIT190114
Citation: Wei LI, Honglin WANG, Jiayi ZHENG, Jianye XU, Junlong ZHAO, Kun ZOU. Research on Radar Waveform Design Strategy under Game Condition[J]. Journal of Electronics & Information Technology, 2019, 41(11): 2654-2660. doi: 10.11999/JEIT190114

博弈条件下雷达波形设计策略研究

doi: 10.11999/JEIT190114
基金项目: 国家自然科学基金(61571456),航空科学基金(20160196001)
详细信息
    作者简介:

    李伟:男,1978年生,副教授,研究方向为新体制雷达信号处理

    王泓霖:男,1995年生,博士生,研究方向为雷达及电子战系统

    郑家毅:男,1991年生,助理工程师,研究方向为雷达信号处理

    徐建业:男,1992年生,博士生,研究方向为信道编码及深度学习

    赵俊龙:男,1995年生,硕士生,研究方向为雷达信号处理、雷达波形设计

    邹鲲:男,1976年生,副教授,研究方向为雷达信号处理、统计信号处理、复杂电磁环境下的目标探测等

    通讯作者:

    王泓霖 wanghonglin821@outlook.com

  • 中图分类号: TN951

Research on Radar Waveform Design Strategy under Game Condition

Funds: The National Natural Science Foundation of China (61571456), The Aeronautical Science Foundation of China (20160196001)
  • 摘要: 为提高电子战中弹载雷达检测性能,该文提出基于纳什均衡的雷达波形设计方法。首先建立电子战条件下雷达与干扰信号博弈模型,基于最大化信干噪比(SINR)准则,分别设计了雷达和干扰的波形策略;然后通过数学推导论证了博弈纳什均衡解的存在性,设计了一种重复剔除严格劣势的多次迭代注水方法来实现纳什均衡;通过二步注水法推导了非均衡的maxmin优化方案;最后通过仿真实验测试不同策略下雷达检测性能。仿真结果证明,基于纳什均衡的雷达信号设计有助于提升博弈条件下雷达检测性能,对比未博弈时,雷达检测概率最高可提升12.02%,较maxmin策略最高可提升3.82%,证明所设计的纳什均衡策略更接近帕累托最优。
  • 图  1  弹载雷达发射-接收信号模型

    图  2  不同注水策略下SINR变化情况

    图  3  迭代周期内SINR变化

    图  4  信号功率分配策略

    图  5  雷达波形功率谱设计

    图  6  纳什均衡雷达功率分配策略

    图  7  maxmin雷达功率分配策略

    图  8  不同策略间雷达检测概率变化

    表  1  迭代注水算法

     (1) 初始化双方策略) $\left| {S({f_k})} \right| = {\left| {S({f_k})} \right|_0}$, $J({f_k}) = J{({f_k})_0}$
     (2) 最大化雷达效益$\mathop {\max }\limits_{{\rm{SINR}}} \left( {{{\left| {S({f_k})} \right|}^*},\lambda } \right)$
     (3) 更新雷达策略$\left| {S({f_k})} \right| = {\left| {S({f_k})} \right|^ * }$
     (4) 最大化干扰效益$\mathop {\min }\limits_{{\rm{SINR}}} \left( {J{{({f_k})}^*},\gamma } \right)$
     (5) 更新干扰策略$J({f_k}) = J{({f_k})^ * }$
     (6) 重复步骤(2)—步骤(5)直到${\left| {S({f_k})} \right|^ * }$与$J{({f_k})^ * }$保持不变
    下载: 导出CSV

    表  2  各频带功率分配策略及性能

    策略子带1(W)子带2(W)子带3(W)子带4(W)子带5(W)SINR(dB)检测概率(%)运算时间(s)
    纳什均衡雷达7.03137.531218.232139.521627.68829.76152.721.537
    干扰6.39166.526118.062440.617228.4126
    maxmin雷达6.03374.344312.872040.547036.20279.55449.310.485
    干扰6.25897.710718.357339.650328.0359
    下载: 导出CSV
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出版历程
  • 收稿日期:  2019-02-26
  • 修回日期:  2019-09-01
  • 网络出版日期:  2019-09-05
  • 刊出日期:  2019-11-01

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