Robust Beamforming for Antenna Arrays with Source Location Probability Density Function

被引：0

作者：

Wang, Jiahao ^{[1
]}

Mouthaan, Koen ^{[1
]}

机构：

[1] Natl Univ Singapore, Dept Elect & Comp Engn, Singapore, Singapore

来源：

2021 INTERNATIONAL SYMPOSIUM ON ANTENNAS AND PROPAGATION (ISAP) | 2021年

关键词：

Robust beamforming; antenna array; adaptive beamforming;

D O I：

暂无

中图分类号：

TN [电子技术、通信技术];

学科分类号：

0809 ;

摘要：

Adaptive beamforming increasingly finds application in new communication and remote sensing systems. In the beamforming, a weight vector is applied to the signals received by an array of antennas. The weight vector is usually computed to maximize the desired received signal and suppress interference and noise sources. However, the location of the desired signal source may vary or may only be known within a certain region. In such case it is beneficial if the beamforming can incorporate this uncertainty. Here, a new robust beamforming (RB) algorithm is presented and demonstrated which incorporates the location uncertainty through a probability density function for the location of the desired signal. The approach is demonstrated using an array of 10 patches at 2.4 GHz and four cases of the probability density function.

引用

页数：2