Linear antenna array synthesis using cat swarm optimization

被引：97
|
作者：
Pappula, Lakshman [1 ]
Ghosh, Debalina [1 ]
机构：
[1] IIT Bhubaneswar, Sch Elect Sci, Bhubaneswar 751013, Orissa, India
来源：
AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS | 2014年 / 68卷 / 06期
关键词：
Linear antenna array; Cat swarm optimization; Particle swarm optimization; Side lobe level; Null control; GENETIC ALGORITHMS;
D O I：
10.1016/j.aeue.2013.12.012
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：
Antenna arrays with high directivity and low side lobe levels need to be designed for increasing the efficiency of communication systems. A new evolutionary technique, cat swarm optimization (CSO), is proposed for the synthesis of linear antenna arrays. The CSO is a high performance computational method capable of solving linear and non-linear optimization problems. CSO is applied to optimize the antenna element positions for suppressing side lobe levels and for achieving nulls in desired directions. The steps involved in the problem formulation of the CSO are presented. Various design examples are considered and the obtained CSO based results are validated by comparing with the results obtained using particle swarm optimization (PSO) and ant colony optimization (ACO). The flexibility and ease of implementation of the CSO algorithm is evident from this analysis, showing the algorithm's Usefulness in electromagnetic optimization problems. (C) 2014 Elsevier GmbH. All rights reserved.
引用
收藏
页码：540 / 549
页数：10
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