MIMO雷达稀疏阵列优化设计方法

doi:10.12305/j.issn.1001-506X.2022.12.09

系统工程与电子技术 ›› 2022, Vol. 44 ›› Issue (12): 3661-3666.doi: 10.12305/j.issn.1001-506X.2022.12.09

MIMO雷达稀疏阵列优化设计方法

唐军奎¹, 刘峥^1,*, 谢荣¹, 曾波²

1. 西安电子科技大学雷达信号处理国家重点实验室, 陕西西安 710071
2. 华东电子工程研究所, 安徽合肥 230088

收稿日期:2020-09-05 出版日期:2022-11-14 发布日期:2022-11-24
通讯作者: 刘峥
作者简介:唐军奎(1993—), 男, 博士研究生, 主要研究方向为阵列信号处理、阵列雷达成像|刘峥(1964—), 男, 教授, 博士, 主要研究方向为雷达信号处理的理论与系统设计、雷达精确制导技术、多传感器信息融合|谢荣(1982—), 男, 副教授, 博士, 主要研究方向为阵列信号处理、雷达天线理论|曾波(1981—), 男, 工程师, 博士, 主要研究方向为雷达信号处理技术
基金资助:
装备预研重点实验室基金(61424010408);61424010408(BX20180240)

Optimal design method for sparse array of MIMO radar

Junkui TANG¹, Zheng LIU^1,*, Rong XIE¹, Bo ZENG²

1. National Lab of Radar Signal Processing, Xidian University, Xi'an 710071, China
2. East China Institute of Electronic Engineering, Hefei 230088, China

Received:2020-09-05 Online:2022-11-14 Published:2022-11-24
Contact: Zheng LIU

摘要/Abstract

摘要：

针对运动平台多输入多输出(multiple input multiple output, MIMO)雷达应用中无法进行规则稀疏布阵, 传统的稀疏阵优化设计方法优化对象单一的问题, 提出一种利用多目标进化算法(multi-objective evolutionary algorithm, MOEA)进行阵列结构优化的方法。将MIMO雷达接收端的收发联合和差波束的旁瓣电平为优化目标, 使系统具有尽可能好的和差波束旁瓣抑制性能。仿真结果表明, 基于Pareto秩排序的MOEA的MIMO雷达稀疏阵优化设计可以使系统多种性能得到提升。

关键词: 多输入多输出雷达, 稀疏阵列, 和差波束形成, 多目标进化算法

Abstract:

Aiming at the problem that multiple input multiple output (MIMO) radar cannot perform regular sparse array in the application of motion platforms, and the traditional sparse array optimization design method can only optimize one object, an array structure optimization method based on multi-objective evolutionary algorithm (MOEA) is proposed. The sidelobe levels of sum beam and difference beam of MIMO radar are taken as optimization objectives, so that the system has the best possible sum beam and difference beam sidelobe suppression performance. Simulation results show that the optimal design of MIMO radar sparse array based on MOEA with Pareto rank sorting can improve various performance of the system.

Key words: multiple input multiple output (MIMO) radar, sparse array, sum and difference beamforming, multi-objective evolutionary algorithm (MOEA)

中图分类号:

TN957.51

唐军奎, 刘峥, 谢荣, 曾波. MIMO雷达稀疏阵列优化设计方法[J]. 系统工程与电子技术, 2022, 44(12): 3661-3666.

Junkui TANG, Zheng LIU, Rong XIE, Bo ZENG. Optimal design method for sparse array of MIMO radar[J]. Systems Engineering and Electronics, 2022, 44(12): 3661-3666.

图/表 5

参考文献 31

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MIMO雷达稀疏阵列优化设计方法

Optimal design method for sparse array of MIMO radar

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