An improved biogeography-based optimization approach for beam pattern optimizations of linear and circular antenna arrays

作     者：Liu, Lingling Wang, Aimin Sun, Geng Zheng, Tingting Yu, Chaoyu 

作者机构：Jilin Univ Coll Comp Sci & Technol Changchun Jilin Peoples R China Jilin Univ Minist Educ Key Lab Symbol Computat & Knowledge Engn Changchun Peoples R China 

出 版 物：《INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS》 (国际数字模拟杂志：电路网络、器件与电磁场)

年 卷 期：2021年第34卷第6期

页      面：e2910-e2910页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 0701[理学-数学] 

基　　金：13th Five-year Plan Scientific Research Planning Project of Education Department of Jilin Province CERNET Innovation Project National Natural Science Foundation of China Science and Technology Development Plan Project of Jilin Province Young Science and Technology Talent Lift Project of Jilin Province 

主　　题：antenna arrays biogeography-based optimization algorithm chaos harmony search Levy flight sidelobe level 

摘      要：Antenna array makes an increasingly valuable contribution to various fields of communications. The beam pattern synthesis is one of the significant properties of antenna array. In this article, suppressing the maximum sidelobe levels (SLLs) of different antenna arrays is our main objective. Specifically, we first formulate the beam pattern optimization problems of the linear antenna array (LAA) and circular antenna array (CAA), respectively, and propose an improved biogeography-based optimization (IBBO) approach to tackle the issue. IBBO introduces the hybrid migration and hybrid mutation operators by adopting several improved factors to strengthen the effect of conventional biogeography-based optimization (BBO) algorithm. Emulate experiments are built to evaluate the performance of the IBBO for dealing with the formulated antenna array beam pattern optimization problems comprehensively.