A simplified robust beamforming algorithm

被引：0

作者：

Liu, Chun-Jing ^{[1
]}

Zhang, Shu ^{[1
]}

机构：

[1] College of Information and Communication Engineering, Harbin Engineering University

来源：

Harbin Gongcheng Daxue Xuebao/Journal of Harbin Engineering University | 2009年 / 30卷 / 09期

关键词：

Minimum variance beamformer; Robust beamforming; Spherical uncertainty set; Steering vector error;

D O I：

10.3969/j.issn.1006-7043.2009.09.017

中图分类号：

学科分类号：

摘要：

The conventional minimum variance beamformer (MVB) is known to have better resolution and much better anti-interference capability when the array steering vector is accurately known. However, the major problem of the MVB is that it lacks robustness when there are unknown array steering vector errors. Therefore, diagonal loading and its extended versions have been a popular approach to improve the robustness of the MVB algorithm. In this paper, the authors simplify the robust MVB algorithm based on an ellipsoidal uncertainty set. The simplified algorithm has been derived by enforcing a spherical uncertainty set constraint on the array steering vector. The new algorithm has lower computation complexity and higher numerical stability. Simulation results show that the new algorithm is effective in the presence of steering vector errors.

引用

页码：1061 / 1065

页数：4

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