Synthesis of Some Low Sidelobe Linear Arrays Using Hybrid Differential Evolution Algorithm Integrated With Convex Programming

被引：26
|
作者：
Cui, Chao-Yi [1 ,2 ]
Jiao, Yong-Chang [2 ]
Zhang, Li [2 ]
机构：
[1] Xidian Univ, Natl Key Lab Antennas & Microwave Technol, Xian 710071, Shaanxi, Peoples R China
[2] Xidian Univ, Collaborat Innovat Ctr Informat Sensing & Underst, Xian 710071, Shaanxi, Peoples R China
来源：
IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2017年 / 16卷
基金：
中国国家自然科学基金;
关键词：
Array pattern synthesis; convex programming (CP); differential evolution (DE); hybrid method; PATTERN SYNTHESIS;
D O I：
10.1109/LAWP.2017.2723568
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：
In this letter, some low sidelobe linear arrays are synthesized by a hybrid differential evolution (DE) algorithm integrated with convex programming. In the hybrid algorithm, the DE algorithm is used to optimize the array layouts only. Once the array layouts are fixed, the subproblems for minimizing the peak sidelobe level of the array pattern with constraints on its beamwidth become convex. A readily available MATLAB toolbox CVX is then used to solve the convex subproblems. Based on the optimal solution of each convex subproblem, an appropriate fitness function is defined in the DE algorithm. Some low sidelobe linear array synthesis examples are given to demonstrate the effectiveness of the proposed algorithm.
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页码：2444 / 2448
页数：5
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