Adaptive beamforming with joint robustness against signal steering vector errors and interference nonstationarity

Sergiy Vorobyov, Alex B. Gershman, Zhi Quan Luo, Ning Ma

Research output: Contribution to journalConference articlepeer-review

7 Scopus citations

Abstract

Adaptive beamforming methods are known to degrade in the presence of both signal steering vector errors and interference nonstationarity. In this paper, we develop a new approach to adaptive beamforming which is jointly-robust against these two phenomena. Our approach is based on the optimization of the worst-case beamforming performance. A computationally efficient convex optimization based algorithm is proposed to compute the beamformer weights. Computer simulations compare the performance of our algorithm with other robust adaptive beamforming techniques.

Original languageEnglish (US)
Pages (from-to)345-348
Number of pages4
JournalICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
Volume5
StatePublished - Sep 25 2003
Event2003 IEEE International Conference on Accoustics, Speech, and Signal Processing - Hong Kong, Hong Kong
Duration: Apr 6 2003Apr 10 2003

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