Dual-domain adaptive beamformer under linearly and quadratically constrained minimum variance

Masahiro Yukawa, Youngchul Sung, Gilwon Lee

研究成果: Article査読

14 被引用数 (Scopus)

抄録

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. The dual-domain projection in this case plays a role in guiding the adaptive algorithm towards a better direction to minimize the interference and noise, leading to considerably faster convergence. The robustness issue against channel mismatch and ill-posedness is also addressed. Numerical examples show that the efficient use of interference side-information brings considerable gains.

本文言語English
論文番号6484994
ページ(範囲)2874-2886
ページ数13
ジャーナルIEEE Transactions on Signal Processing
61
11
DOI
出版ステータスPublished - 2013

ASJC Scopus subject areas

  • 信号処理
  • 電子工学および電気工学

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