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

This paper presents reduced-rank linearly constrained minimum variance (LCMV) beamforming algorithms based on joint iterative optimization of filters. The proposed reduced-rank scheme is based on a constrained joint iterative optimization of filters according to the minimum variance criterion. The p...

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Veröffentlicht in:	Signal processing 2010-02, Vol.90 (2), p.640-652
Hauptverfasser:	de Lamare, R.C., Wang, L., Fa, R.
Format:	Artikel
Sprache:	eng
Schlagworte:	Adaptive algorithms Adaptive filters Algorithms Applied sciences Beamforming Constrained optimization Constraints Design engineering Detection, estimation, filtering, equalization, prediction Exact sciences and technology Information, signal and communications theory Iterative methods Optimization Projection Signal and communications theory Signal, noise Telecommunications and information theory Variance
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