Synthesis of Nonuniformly Spaced Arrays With Frequency-Invariant Shaped Patterns by Sequential Convex Optimization

被引：14

作者：

Gong, Yu ^{[1
]}

Xiao, Shaoqiu ^{[1
,2
]}

Wang, Bingzhong ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Phys, Chengdu 610054, Peoples R China

[2] Sun Yat Sen Univ, Sch Elect & Informat Technol, Guangzhou 510006, Peoples R China

来源：

IEEE ANTENNAS AND WIRELESS PROPAGATION LETTERS | 2020年 / 19卷 / 07期

基金：

中国国家自然科学基金;

关键词：

Frequency-invariant shaped patterns; nonuniformly spaced array; reweighted l(1) convex optimization; DESIGN; BEAMPATTERN; BEAMFORMERS; BEAMS;

D O I：

10.1109/LAWP.2020.2989196

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, a novel synthesis method for nonuniformly spaced linear and planar arrays with frequency-invariant shaped patterns is proposed. This method consists of two steps. In the first step, we acquire the array excitation weights for all frequency sampling points through a sequence of weighted l(1) convex optimizations. In the optimization process, conjugate symmetric array excitation weights are assumed so that the nonconvex lower bound constraints on the shaped patterns are convex. In the second step, we make use of the analytical method to design the finite impulse response (FIR) filters corresponding to each sensor to ensure that the frequency responses of filters approximate the weights of antenna elements.

引用

页码：1093 / 1097

页数：5

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