A Hybrid Approach for the Synthesis of Nonuniformly Spaced and Excited Linear Arrays With Strict Element Spacing Constraints

被引：5

作者：

Yang, Jianhua ^{[1
]}

Yang, Peng ^{[1
]}

Yange, Feng ^{[1
]}

Xing, Zhiyu ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Elect Sci & Engn, Chengdu 611731, Peoples R China

来源：

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION | 2022年 / 70卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Optimization; Genetic algorithms; Search problems; Apertures; Programming; Linear antenna arrays; Genetics; Array synthesis; hybrid method; nonuniformly spaced and excited linear arrays; optimization; PATTERN SYNTHESIS; SPARSE ARRAYS; DIFFERENCE PATTERNS; ANTENNA-ARRAYS; PLANAR; OPTIMIZATION; SUBJECT; DESIGN; BEAMPATTERN; EXCITATION;

D O I：

10.1109/TAP.2022.3161525

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 hybrid methodology for the synthesis of nonuniformly spaced and excited linear arrays is proposed. At first, a modified genetic algorithm (GA) named linear-constraint genetic algorithm (LCGA) is discussed in this article to adapt to generalized linear-constraint optimization problems. Then, by nesting the technique of convex programming (CP) into LCGA, a hybrid optimization implementation is developed to jointly optimize the position and excitation variables. Due to the linear-constraint character of LCGA, array layouts can be exactly constrained with element spacings and the aperture size. A set of representative numerical experiments shows the effectiveness of this method to obtain very high-quality solutions.

引用

页码：5521 / 5533

页数：13

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