Improving conflicting specifications of time-modulated antenna arrays by using a multiobjective evolutionary algorithm

被引：23
作者：
Chen, Yikai [1 ]
Yang, Shiwen [1 ]
Nie, Zaiping [1 ]
机构：
[1] Univ Elect Sci & Technol China, Dept Microwave Engn, Sch Elect Engn, Chengdu 611731, Peoples R China
来源：
INTERNATIONAL JOURNAL OF NUMERICAL MODELLING-ELECTRONIC NETWORKS DEVICES AND FIELDS | 2012年 / 25卷 / 03期
关键词：
time-modulated array; evolutionary algorithm; multiobjective optimization; differential evolution; PARTICLE SWARM OPTIMIZATION; PHASE CENTER MOTION; LINEAR ARRAYS; PATTERN SYNTHESIS; DIFFERENTIAL EVOLUTION; GENETIC ALGORITHM; PLANAR ARRAYS; DESIGN; SUM; RADIATIONS;
D O I：
10.1002/jnm.824
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：
By using the time modulation technique in antenna arrays, the stringent requirements on excitation error tolerance can be relaxed. However, the sideband signals spaced at multiples of the modulation frequency need to be suppressed in some applications. Multiobjective optimization is an important tool in the design of arrays with conflicting goals, such as low sidelobe level, low sideband level, and narrow beamwidth in the time-modulated antenna arrays. In this paper, a novel multiobjective evolutionary algorithm based on objective decomposition (MOEA/D) with differential evolution operator and objective normalization technique is employed for the time-modulated array synthesis, which is typically a problem with disparately scaled conflicting objectives. The effectiveness of the method is demonstrated by comparing the performances obtained by MOEA/D with those of previously reported results obtained by a single-objective differential evolution algorithm and simulated annealing technique. Copyright (C) 2011 John Wiley & Sons, Ltd.
引用
收藏
页码：205 / 215
页数：11
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