基于分区技术的位置优化遗传算法辅助低SLL天线阵综合

2018 IEEE Indian Conference on Antennas and Propogation (InCAP) Pub Date : 2018-12-01 DOI:10.1109/INCAP.2018.8770850

Pramod Kumar, A. Kedar, N. Vishwakarma

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引用次数: 4

摘要

本文讨论了一种基于遗传算法(GA)技术的元件放置策略，以合成具有低旁瓣电平(SLL)的等近邻均匀放置元件阵列。将分区法与遗传算法相结合，加快了收敛过程。本文通过少量的研究，突出了优化方法的有效性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Genetic Algorithm Aided Synthesis of Low SLL Antenna Array Utilizing Position Optimization based on Zoning Technique

The present paper discuss an element placement strategy based on genetic algorithm (GA) technique to synthesize an isophoric uniformly placed element array with low sidelobe level (SLL). A zoning method is used in conjunction with GA for accelerating the convergence process. The effectiveness of the optimization methodology is highlighted with the aid of few studies in the paper.

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2018 IEEE Indian Conference on Antennas and Propogation (InCAP)

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