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动态环境下MIMO雷达站点优化配置方法
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  • 英文篇名:Antenna Deployment Method for MIMO Radar in Dynamic Environment
  • 作者:汪子钦 ; 张天贤 ; 杨益川 ; 孔令讲 ; 杨晓波 ; 杨建宇
  • 英文作者:WANG Ziqin;ZHANG Tianxian;YANG Yichuan;KONG Lingjiang;YANG Xiaobo;YANG Jianyu;School of Information and Communication Engineering, University of Electronic Science and Technology of China;Science and Technology on Electronic Information Control Laboratory;
  • 关键词:动态环境 ; MIMO雷达 ; 站点配置 ; 卡尔曼滤波 ; 粒子群优化算法
  • 英文关键词:dynamic environment;;MIMO radar;;antenna placement;;Kalman filter;;PSO
  • 中文刊名:XDLD
  • 英文刊名:Modern Radar
  • 机构:电子科技大学信息与通信工程学院;电子信息控制重点实验室;
  • 出版日期:2019-03-15
  • 出版单位:现代雷达
  • 年:2019
  • 期:v.41;No.340
  • 基金:国防科技创新特区支持项目;; 中央高校基本科研业务费资助项目(ZYGX2018J009)
  • 语种:中文;
  • 页:XDLD201903003
  • 页数:5
  • CN:03
  • ISSN:32-1353/TN
  • 分类号:16-20
摘要
针对动态环境下多监视区域的分布式多输入多输出(MIMO)雷达站点优化配置问题,提出基于卡尔曼滤波(KF)与粒子群优化(PSO)的站点配置方法。文中考虑MIMO雷达系统要实时监视多区域,并根据环境的变化计算不同时刻的站点最优配置方案,建立了待优化数学模型,给出了算法的求解过程及步骤,最后通过仿真验证了算法在动态环境下的有效性,可显著提升各个时刻雷达站点最优配置方案的计算效率,并改善最优配置方案的性能。
        Antenna placement for a distributed Multi-Input Multi-Output(MIMO) radar in dynamic environment is studied. We use Kalman filter(KF) and particle swarm optimization(PSO) to solve the problem. Considering multiple surveillance regions in dynamic environment, we have to compute new deployment schemes when scenario changes. The background of the problem research is introduced and the mathematical model to be optimized is established in this paper, and the process of the algorithm is given. Then, we analyze the performance of the algorithm. Finally, numerical results are provided to verify the validity of the proposed algorithm.
引文
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