TY - JOUR
T1 - Convex optimization-based beamforming
AU - Gershman, Alex
AU - Sidiropoulos, Nicholas
AU - Shahbazpanahi, Shahram
AU - Bengtsson, Mats
AU - Ottersten, Björn
PY - 2010/5
Y1 - 2010/5
N2 - 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.
AB - 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.
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U2 - 10.1109/MSP.2010.936015
DO - 10.1109/MSP.2010.936015
M3 - Article
SN - 1053-5888
VL - 27
SP - 62
EP - 75
JO - IEEE Signal Processing Magazine
JF - IEEE Signal Processing Magazine
IS - 3
M1 - 5447076
ER -