Optimal design method for sparse array of MIMO radar

被引：0
|
作者：
Tang J. [1 ]
Liu Z. [1 ]
Xie R. [1 ]
Zeng B. [2 ]
机构：
[1] National Lab of Radar Signal Processing, Xidian University, Xi'an
[2] East China Institute of Electronic Engineering, Hefei
来源：
Xi Tong Gong Cheng Yu Dian Zi Ji Shu/Systems Engineering and Electronics | 2022年 / 44卷 / 12期
关键词：
multi-objective evolutionary algorithm (MOEA); multiple input multiple output (MIMO) radar; sparse array; sum and difference beamforming;
D O I：
10.12305/j.issn.1001-506X.2022.12.09
中图分类号：
学科分类号：
摘要：
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. © 2022 Chinese Institute of Electronics. All rights reserved.
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页码：3661 / 3666
页数：5
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