An Integer Genetic Algorithm for Optimal Clustering in Phased Array Antenna

被引：0
|
作者：
Poli, L. [1 ]
Oliveri, G. [1 ]
Massa, A. [1 ,2 ]
机构：
[1] Univ Trento, ELEDIA UniTN, ELEDIA Res Ctr, Trento, Italy
[2] ELEDIA Res Ctr, ELEDIA L2S, UMR 8506, Gif Sur Yvette, France
来源：
2017 INTERNATIONAL APPLIED COMPUTATIONAL ELECTROMAGNETICS SOCIETY SYMPOSIUM - ITALY (ACES) | 2017年
关键词：
Subarraying techniques; beam scanning; evolutionary optimization; integer genetic algorithm; LINEAR ARRAYS; DESIGN; OPTIMIZATION;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
A subarraying technique based on a novel genetic algorithm (GA) whose operators have been suitably customized in order to deal with integer variables is presented in this paper. The method is aimed to prevent the generation of high-level quantization lobes in the scanned radiation pattern by properly combining a given number of clusters selected from an arbitrarily defined alphabet of tiles of various shapes. A representative numerical result is reported in order to show advantages and drawbacks of the proposed methodology.
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页数：2
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