Adaptive reduced-rank LCMV beamforming algorithms based on joint iterative optimization of filters: Design and analysis

Signal Processing

Volumn 90, Issue 2, 2010, Pages 640-652

  de Lamare, R C ^a   Wang, L ^a   Fa, R ^a  

^a UNIVERSITY OF YORK   (United Kingdom)

Author keywords

Adaptive filters; Beamforming; Constrained optimization; Iterative methods

Indexed keywords

BEAMFORMING ALGORITHMS; CONVERGENCE PROPERTIES; DESIGN AND ANALYSIS; EFFICIENT IMPLEMENTATION; ITERATIVE OPTIMIZATION; LCMV BEAMFORMING; LINEARLY CONSTRAINED MINIMUM VARIANCE; MEAN SQUARED ERROR; MINIMUM VARIANCE; OPTIMIZATION PROCEDURES; PROJECTION MATRIX; RECURSIVE LEAST SQUARES; REDUCED RANK FILTERS; REDUCED-RANK; REDUCED-RANK SCHEMES; SELECTION TECHNIQUES; SEMI-ANALYTICAL EXPRESSION; STOCHASTIC GRADIENT;

ADAPTIVE ALGORITHMS; ADAPTIVE FILTERING; ADAPTIVE FILTERS; BEAMFORMING; CONVERGENCE OF NUMERICAL METHODS; ELECTRIC FILTERS; INTERFERENCE SUPPRESSION; ITERATIVE METHODS; MEAN SQUARE ERROR;

CONSTRAINED OPTIMIZATION;

EID: 70349275163     PISSN: 01651684     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.sigpro.2009.08.002     Document Type: Article

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