Adaptive beamforming by constrained parallel projection in the presence of spatially-correlated interferences

Masahiro Yukawa, Isao Yamada

研究成果: Conference contribution

7 被引用数 (Scopus)

抄録

The contribution of this paper is twofold. We first clarify geometrically an inherent difference in convergence speed between two adaptive algorithms, projected-NLMS (PNLMS) and constrained-NLMS (CNLMS), both of which are widely used for linearly constrained adaptive filtering problems. A simple geometric interpretation suggests that CNLMS converges faster than PNLMS especially in the challenging situations of the adaptive beamforming where there exist spatially-correlated interferences (i.e., interferences that have small angular separation with the desired signal). To enhance the advantage of CNLMS in convergence speed while keeping linear computational complexity, we then propose an efficient adaptive beamformer that utilizes multiple data at each iteration by extending the constrained parallel projection algorithm to complex cases. The simulation results demonstrate that the proposed beamformer exhibits even faster convergence than the constrained affine projection algorithm (CAPA) as well as CNLMS.

本文言語English
ホスト出版物のタイトル2006 IEEE International Conference on Acoustics, Speech, and Signal Processing - Proceedings
ページIV1009-IV1012
出版ステータスPublished - 2006
外部発表はい
イベント2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006 - Toulouse, France
継続期間: 2006 5 142006 5 19

出版物シリーズ

名前ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
4
ISSN(印刷版)1520-6149

Other

Other2006 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP 2006
国/地域France
CityToulouse
Period06/5/1406/5/19

ASJC Scopus subject areas

  • ソフトウェア
  • 信号処理
  • 電子工学および電気工学

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