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.
作者
汪子钦
张天贤
杨益川
孔令讲
杨晓波
杨建宇
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,Chengdu 611731 ,China;Science and Technology on Electronic Information Control Laboratory,Chengdu 610036 ,China)
出处
《现代雷达》
CSCD
北大核心
2019年第3期12-16,共5页
Modern Radar
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)
