基于NSGA-Ⅱ的频控阵发射波束优化  

FREQUENCY DIVERSE ARRAY TRANSMIT BEAMPATTERN OPTIMIZATION BASED ON NSGA-Ⅱ

作　　者：沈卢伟 马秀荣 单云龙 Shen Luwei;Ma Xiurong;Shan Yunlong(School of Electrical and Electronic Engineering,Tianjin University of Technology,Tianjin 300384,China;Engineering Research Center of Communication Devices and Technology,Ministry of Education,Tianjin 300384,China)

机构地区：[1]天津理工大学电气电子工程学院,天津300384 [2]光电器件与通信技术教育部工程研究中心,天津300384

出　　处：《计算机应用与软件》2023年第11期138-143,共6页Computer Applications and Software

基　　金：天津市高等学校自然科学研究重点项目(2018ZD10)。

摘　　要：为了改善频控阵波束方向图,达到波束宽度、旁瓣电平的整体最优,提出一种基于非支配排序遗传算法(Non-dominated Sorting Genetic AlgorithmⅡ,NSGA-Ⅱ)的频控阵发射波束优化方法。该方法将距离维主瓣波束宽度和最大旁瓣电平作为优化目标,采用NSGA-Ⅱ优化频率偏移求解Pareto最优解集。仿真结果表明该方法可以得到分布均匀、多样性良好的Pareto前沿,结合实际应用需求可以从Pareto最优解集中选择一组合适的频率偏移,与现有的频控阵相比具有更好的目标定位能力。In order to optimize the frequency diverse array beampattern and achieve the overall optimal of beamwidth and sidelobe level,a beampattern optimization method based on non-dominated sorting genetic algorithm II(NSGA-II)is proposed.In this method,range-dimension beamwidth and peak sidelobe level were treated as optimization targets,and the NSGA-II was introduced to solve the Pareto optimal solution-set by optimizing the frequency offset.The simulation results show that the proposed method can get Pareto frontier with uniform distribution and good diversity,and the optimal frequency offset can be selected from Pareto optimal solution-set combined with the actual application requirements.Compared with the existing frequency diverse array,the proposed method has better target location capability.

关 键 词：频控阵 波束宽度 旁瓣电平 NSGA-Ⅱ 频率偏移 PARETO最优解集 目标定位 

分 类 号：TP3[自动化与计算机技术—计算机科学与技术]