基于GA-PSO算法和模糊函数的二维子阵稀疏天线阵列优化设计。

IF 3 3区工程技术 Q2 CHEMISTRY, ANALYTICAL

Micromachines Pub Date : 2025-09-10 DOI:10.3390/mi16091038

Jian Yang, Jian Lu, Tong Zhu, Chuanxiang Li, Yinghui Quan

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引用次数: 0

摘要

子阵稀疏天线阵列可以有效减少阵列天线的数字信道，降低系统复杂度，降低硬件成本，同时增加天线孔径。本文提出了一种基于遗传算法-粒子群优化（GA-PSO）和模糊函数的全相多输入多输出（FPMIMO）工作模式下稀疏子阵天线阵列的优化设计方法。该算法可以自适应调整优化迭代次数以获得粒子群算法和遗传算法的优化结果，保证算法的全局优化性能，并结合模糊函数确定最终优化的子阵稀疏天线阵列。仿真实验验证了该算法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

Optimized Design of Sparse Antenna Array for 2D Subarrays Based on GA-PSO Algorithm and Ambiguity Function.

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Optimized Design of Sparse Antenna Array for 2D Subarrays Based on GA-PSO Algorithm and Ambiguity Function.

A sparse antenna array of subarrays can effectively reduce the digital channels of array antennas, system complexities, and hardware cost while simultaneously increasing the antenna aperture. In this study, a new optimal design is proposed for a sparse antenna array of subarrays in the full-phased multiple input multiple output (FPMIMO) operation mode based on genetic algorithm-particle swarm optimization (GA-PSO) and ambiguity functions. The proposed algorithm can adaptively adjust the number of optimization iterations for yielding the optimization results of the PSO algorithm and GA to ensure the global optimization performance of algorithms and combine ambiguity functions to determine the final optimized sparse antenna array of subarrays. The effectiveness of the proposed algorithm is verified via simulation tests.

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来源期刊

Micromachines NANOSCIENCE & NANOTECHNOLOGY-INSTRUMENTS & INSTRUMENTATION

CiteScore

5.20

自引率

14.70%

发文量

1862

审稿时长

16.31 days

期刊介绍： Micromachines (ISSN 2072-666X) is an international, peer-reviewed open access journal which provides an advanced forum for studies related to micro-scaled machines and micromachinery. It publishes reviews, regular research papers and short communications. Our aim is to encourage scientists to publish their experimental and theoretical results in as much detail as possible. There is no restriction on the length of the papers. The full experimental details must be provided so that the results can be reproduced.