Pattern synthesis for uniform linear array using genetic algorithm and artificial neural network

被引：0
|
作者：
Mengmeng He
Zhi Zheng
Wen-Qin Wang
Zhenmei Kang
机构：
[1] University of Electronic Science and Technology of China,School of Information and Communication Engineering
[2] University of Electronic Science and Technology of China,Yangtze Delta Region Institute (Huzhou)
[3] Southwest China Institute of Electronic Technology,undefined
来源：
Multidimensional Systems and Signal Processing | 2022年 / 33卷
关键词：
Pattern synthesis; Uniform linear array (ULA); Genetic algorithm (GA); Artificial neural network (ANN);
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, we propose a new amplitude-only method for pattern synthesis of uniform linear array (ULA) based on genetic algorithm (GA) and artificial neural network (ANN), which can produce a low sidelobe pattern with deep nulls. Unlike existing schemes for pattern synthesis, our method can avoid falling into local optimum and exhibits a faster convergence speed, and is also easy to implement due to its low computational complexity. In complicated and changing environments, the proposed method can quickly and accurately synthesize the desired pattern of the ULA. Numerical results demonstrate the effectiveness of the devised algorithm.
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页码：263 / 273
页数：10
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