Reconstruction of Antenna Radiation Pattern Based on Compressed Sensing

被引：0
|
作者：
Zhang H. [1 ]
Jiang Y. [1 ]
Li X. [1 ]
机构：
[1] College of Information and Communication Engineering, Harbin Engineering University, Harbin
来源：
Journal of Shanghai Jiaotong University (Science) | 2020年 / 25卷 / 06期
基金：
中国国家自然科学基金;
关键词：
A; compressed sensing; far-field; m-sequence; radiation pattern; TN; 820;
D O I：
10.1007/s12204-020-2222-z
中图分类号：
学科分类号：
摘要：
The measurement of the far-field radiation pattern is an important factor in describing the characteristics of the antenna. The measurement process is time consuming and expensive. Therefore, this paper proposes a novel method to reduce the number of samples required for radiation pattern measurement by adopting compressed sensing theory. This method reconstructs the radiation pattern from data measured by a few sensors, and the positions of these sensors are generated via the m-sequence. Simulation results demonstrate that the proposed algorithm can effectively reconstruct the complete radiation pattern by using the 50% samples. © 2020, Shanghai Jiao Tong University and Springer-Verlag GmbH Germany, part of Springer Nature.
引用
收藏
页码：790 / 794
页数：4
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