Frequency Diverse Array Transmit Beampattern Optimization With Genetic Algorithm

被引：120

作者：

Xiong, Jie ^{[1
]}

Wang, Wen-Qin ^{[1
]}

Shao, Huaizong ^{[1
]}

Chen, Hui ^{[1
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Commun & Informat Engn, Chengdu 611731, 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：

Beampattern synthesis; frequency diverse array (FDA); frequency increment; genetic algorithm (GA); phased-array; RADAR; STRATEGY;

D O I：

10.1109/LAWP.2016.2584078

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：

Due to its range-angle-dependent transmit beampattern, frequency diverse array (FDA) provides potential applications for joint range and angle estimation of targets and range-dependent interference suppression. However, a standard FDA using linearly increasing frequency increments will generate range- and angle-coupled S-shaped beampattern. This letter proposes a focused beampattern synthesis by optimizing the frequency increments with genetic algorithm. Both single-dot and multidot-shaped transmit beampatterns can be synthesized in this way. Numerical results show that the proposed method outperforms the existing method using logarithmically increasing frequency increments in suppressing undesired sidelobes, which implies that better target location performance can be achieved for the proposed method.

引用

页码：469 / 472

页数：4