Convex optimization-based beamforming

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

Research output: Contribution to journalArticlepeer-review

439 Scopus citations


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
Issue number3
StatePublished - May 2010


Dive into the research topics of 'Convex optimization-based beamforming'. Together they form a unique fingerprint.

Cite this