Robust beamforming algorithm using worse-case performance optimization

被引：1

作者：

Liu C.-F. ^{[1
]}

Liao G.-S. ^{[1
]}

机构：

[1] Key Lab. of Radar Signal Processing, Xidian Univ.

来源：

Xi'an Dianzi Keji Daxue Xuebao/Journal of Xidian University | 2010年 / 37卷 / 01期

关键词：

Adaptive beamforming; Negative diagonal loading; Steering vector mismatch; Worst-case performance optimization;

D O I：

10.3969/j.issn.1001-2400.2010.01.001

中图分类号：

学科分类号：

摘要：

The robust adaptive beamformer using worse-case performance optimization can be converted to the loaded sample matrix inversion (LSMI) algorithm equivalently. For the LSMI beamformer, a novel method is developed to solve the precise Lagrange multiplier, and the optimal loading level can be computed exactly. Most important, this method gives the efficient solution to finding the optimal loading level for diagonal loading. Theoretical analysis and simulation indicate that the LSMI beamformer with the optimal negative loading can give the best performance improvement, and the constraint parameter is so selected that the larger it is the closer to optimization the improvement will be.

引用

页码：1 / 7+17

共 15 条

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