Convex optimization-based beamforming

Alex Gershman, Nicholas Sidiropoulos, Shahram Shahbazpanahi, Mats Bengtsson, Björn Ottersten

Research output: Contribution to journalArticlepeer-review

365 Scopus citations

Abstract

In this article, an overview of advanced convex optimization approaches to-multisensor beamforming is presented, and connections are drawn between different types of optimization-based beamformers that apply to a broad class of receive, transmit, and network beamformer design problems. It is demonstrated that convex optimization provides an indispensable set of tools for beamforming, enabling rigorous formulation and effective solution of both long-standing and emerging design problems.

Original languageEnglish (US)
Article number5447076
Pages (from-to)62-75
Number of pages14
JournalIEEE Signal Processing Magazine
Volume27
Issue number3
DOIs
StatePublished - May 2010

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