Robust Adaptive Beamforming Based on Steering Vector Estimation With as Little as Possible Prior Information

A general notion of robustness for robust adaptive beamforming (RAB) problem and a unified principle for minimum variance distortionless response (MVDR) RAB techniques design are formulated. This principle is to use standard MVDR beamformer in tandem with an estimate of the desired signal steering v...

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Veröffentlicht in:	IEEE transactions on signal processing Jg. 60; H. 6; S. 2974 - 2987
Hauptverfasser:	Khabbazibasmenj, Arash, Vorobyov, S. A., Hassanien, A.
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York, NY IEEE 01.06.2012 Institute of Electrical and Electronics Engineers
Schlagworte:	Applied sciences Array signal processing Arrays Covariance matrix Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Interference Member and Geographic Activities Board committees Output power maximization quadratically constrained quadratic programming (QCQP) robust adaptive beamforming (RAB) Robustness semi-definite programming (SDP) relaxation Signal and communications theory Signal, noise steering vector estimation Telecommunications and information theory Vectors Output power maaximization Prior information Output power semi-definite programming (SDP) relaxation steering vector estimation Signal estimation Quadratic programming Beam forming Optimization Relaxation Minimal variance Linear combination Simulation quadratically constrained quadratic programming (QCQP) Signal processing Robustness Antenna array robust adaptive beamforming (RAB)
ISSN:	1053-587X, 1941-0476
Online-Zugang:	Volltext
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