Dual-Domain Adaptive Beamformer Under Linearly and Quadratically Constrained Minimum Variance

In this paper, a novel adaptive beamforming algorithm is proposed under a Linearly and Quadratically Constrained Minimum Variance (LQCMV) beamforming framework, based on a dual-domain projection approach that can efficiently implement a quadratic-inequality constraint with a possibly rank-deficient positive semi-definite matrix, and the properties of the proposed algorithm are analyzed. As an application, Relaxed Zero-Forcing (RZF) beamforming is presented which adopts a specific quadratic constraint that bounds the power of residual interference in the beamformer output with the aid of interference-channel side-information available typically in wireless multiple-access systems.

Provided by: Institute of Electrical & Electronic Engineers Topic: Mobility Date Added: Mar 2013 Format: PDF

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