Synthesis of Unequally Spaced Linear Antenna Arrays With Minimum Element Spacing Constraint by Alternating Convex Optimization

被引:36
|
作者
You, Pengfei [1 ,2 ]
Liu, Yanhui [1 ,2 ]
Chen, Shu-Lin [3 ]
Da Xu, Kai [1 ,2 ]
Li, Weiwen [1 ,2 ]
Liu, Qing Huo [4 ]
机构
[1] Xiamen Univ, Coll Elect Sci & Technol, Xiamen 361005, Fujian, Peoples R China
[2] Xiamen Univ, Inst Electromagnet & Acoust, Xiamen 361005, Fujian, Peoples R China
[3] Univ Technol Sydney, Global Big Data Technol Ctr, Ultimo, NSW 2007, Australia
[4] Duke Univ, Dept Elect & Comp Engn, Durham, NC 27708 USA
基金
中国国家自然科学基金;
关键词
Alternating convex optimization (ACO); minimum spacing constraint; radiation pattern synthesis; unequally spaced linear array; MATRIX PENCIL METHOD; PATTERN SYNTHESIS; DIFFERENTIAL EVOLUTION; BEAMPATTERN SYNTHESIS; NUMBER; ALGORITHM; STRATEGY;
D O I
10.1109/LAWP.2017.2764069
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 novel method called alternating convex optimization is presented to synthesize unequally spaced linear arrays with minimum element spacing constraint. In this method, the problem of synthesizing an unequally spaced array is formulated as a sequence of alternating convex optimization problems, and the excitation vector and auxiliary weighting vector are alternately chosen as the optimization variables. The minimum spacing constraint for considering the physical element antenna size can be easily imposed in this alternating optimization process. Two examples for synthesizing unequally spaced linear arrays with focused and shaped patterns are provided to validate the effectiveness and advantages of the proposed method.
引用
收藏
页码:3126 / 3130
页数:5
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