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

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

Research output: Contribution to journalLetterpeer-review

111 Scopus citations

Abstract

Adaptive beamforming methods degrade in the presence of both signal steering vector errors and interference nonstationarity. We develop a new approach to adaptive beamforming that is jointly robust against these two phenomena. Our beamformer is based on the optimization of the worst case performance. A computationally efficient convex optimization-based algorithm is proposed to compute the beamformer weights. Computer simulations demonstrate that our beamformer has an improved robustness as compared to other popular robust beamforming algorithms.

Original languageEnglish (US)
Pages (from-to)108-111
Number of pages4
JournalIEEE Signal Processing Letters
Volume11
Issue number2 PART I
DOIs
StatePublished - Feb 2004

Bibliographical note

Funding Information:
Manuscript received November 27, 2002; revised February 28, 2003. This work was supported in part by the Natural Sciences and Engineering Research Council (NSERC) of Canada, by the Premier Research Excellence Award Program of the Ministry of Energy, Science, and Technology (MEST) of Ontario, Canada Research Chair Program, and by the Wolfgang Paul Award Program of the Alexander von Humboldt Foundation. The associate editor coordinating the review of this manuscript and approving it for publication was Prof. Visa Koivunen.

Keywords

  • Adaptive beamforming
  • Interference nonstationarity
  • Robustness
  • Second-order cone programming
  • Steering vector errors

Fingerprint Dive into the research topics of 'Adaptive beamforming with joint robustness against mismatched signal steering vector and interference nonstationarity'. Together they form a unique fingerprint.

Cite this