基于加权准则的雷达博弈波形设计  

Radar Game Waveform Design Based on Weighting Criterion

作　　者：董军 杜晓林 崔国龙 余显祥 田团伟 DONG Jun;DU Xiaolin;CUI Guolong;YU Xianxiang;TIAN Tuanwei(School of Computer and Control Engineering,Yantai University Yantai Shandong 264005;School of Information and Communication Engineering,University of Electronic Science and Technology of China Chengdu 611731;School of Physics and Electronics,Henan University Kaifeng Henan 475001)

机构地区：[1]烟台大学计算机与控制工程学院,山东烟台264005 [2]电子科技大学信息与通信工程学院,成都611731 [3]河南大学物理与电子学院,河南开封475001

出　　处：《电子科技大学学报》2022年第6期866-874,共9页Journal of University of Electronic Science and Technology of China

基　　金：国家自然科学基金(61801415,61771109)。

摘　　要：在复杂的实战环境中,雷达的先验信息具有很大的不确定性,且由于干扰更加智能化,导致实战中雷达的探测性能再度降低。为提高电子战雷达的探测性能,提出了一种基于互信息与信干噪比加权准则的雷达博弈波形设计方法。首先建立了互信息和信干噪比的加权准则,然后设计相应的雷达与干扰博弈模型,最后提出最大边缘重分配算法以解决重复博弈困境,精炼纳什均衡。仿真实验验证了该方法的有效性。In the complex actual combat environment,the uncertainty of the prior information of the radar makes it difficult to meet the performance requirements,and the interference is more intelligent,which further reduces the detection performance of the radar in actual warfare.In order to improve the detection performance of electronic warfare radars,a radar game waveform design method based on mutual information and signal-tointerference-plus-noise ratio weighting criterion is proposed.First,weighting criterion for mutual information and signal-to-interference-plus-noise ratio is established,and then the radar and jamming game model based on the above criterion is designed.Finally,the maximum marginal reallocation algorithm is proposed to solve the repeated game dilemma and refine the Nash equilibrium.Simulation experiments verify the effectiveness of the proposed method.

关 键 词：认知雷达 纳什均衡 STACKELBERG博弈 波形优化设计 加权准则 

分 类 号：TN97[电子电信—信号与信息处理]