Differential evolution algorithm applied to sidelobe level reduction on a planar array

作     者：Rocha-Alicano, Carlos Covarrubias-Rosales, David Brizuela-Rodriguez, Carlos Panduro-Mendoza, Marco 

作者机构：CICESE Res Ctr Ensenada 22860 Baja California Mexico Autonomous Univ Tamaulipas Reynosa Rhode Acad Ctr Reynosa Mexico 

出 版 物：《AEU-INTERNATIONAL JOURNAL OF ELECTRONICS AND COMMUNICATIONS》 (AEU Int. J. Electron. Commun.)

年 卷 期：2007年第61卷第5期

页      面：286-290页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 

基　　金：Consejo Nacional de Ciencia y Tecnología  CONACYT  (U39514-Y) 

主　　题：planar array differential evolution algorithm array factor synthesis 

摘      要：In this paper, differential evolution (DE), one of the youngest paradigms in evolutionary computation, is applied to the process of synthesizing a planar array factor focused on sidelobe-level reduction. Sidelobe level is a critical array factor parameter in the task of reducing background noise and interference in the most recent Wireless Communications Systems. Minimization of sidelobe level involves nonlinear and non-convex dependence between array factor and its elements parameters becoming a highly complex problem. However, DE has proven to be a fast and efficient algorithm for complex real-valued problems. Subsequently, a binary-coded genetic algorithm is proposed for the synthesis of planar arrays. Numerical results show a promising performance ofDE reducing noticeably the sidelobe level generated by a uniform planar array. (C) 2006 Elsevier GmbH. All rights reserved.