On Diagonal Loading for Robust Adaptive Beamforming Based on Worst‐Case Performance Optimization

Robust adaptive beamforming based on worst‐case performance optimization is investigated in this paper. It improves robustness against steering vector mismatches by the approach of diagonal loading. A closed‐form solution to optimal loading is derived after some approximations. Besides reducing the...

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Bibliographic Details
Published inETRI journal Vol. 29; no. 1; pp. 50 - 58
Main Authors Lin, Jing‐ran, Peng, Qi‐cong, Shao, Huai‐zong
Format Journal Article
LanguageEnglish
Published 01.02.2007
Subjects
optimal diagonal loading
performance analysis
Robust adaptive beamforming (RABF)
worst‐case performance optimization
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Summary:Robust adaptive beamforming based on worst‐case performance optimization is investigated in this paper. It improves robustness against steering vector mismatches by the approach of diagonal loading. A closed‐form solution to optimal loading is derived after some approximations. Besides reducing the computational complexity, it shows how different factors affect the optimal loading. Based on this solution, a performance analysis of the beamformer is carried out. As a consequence, approximated closed‐form expressions of the source‐of‐interest power estimation and the output signal‐to‐interference‐plus‐noise ratio are presented in order to predict its performance. Numerical examples show that the proposed closed‐form expressions are very close to their actual values.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:1225-6463
2233-7326
DOI:10.4218/etrij.07.0105.0186