Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints

• CHANG Ann-Chen

  Department of Information Technology, Ling Tung University

• JEN Chih-Wei

  Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology

• SU Ing-Jiunn

  Department of Electrical and Electronic Engineering, Chung Cheng Institute of Technology

抄録

This paper deals with adaptive array beamforming based on stochastic gradient descent independent component analysis (ICA) for suppressing interference with robust capabilities. The approach first uses estimates of the interested source directions to construct the multiple regularized constraints, which form an efficient ICA-based beamformer to achieve fast convergence and more robust capabilities than existing MCMV and ESB beamformers. In conjunction with the regularization parameters of the high-order derivative constraints, the width of the main beam for remaining the desired signal and the depth of nulls for suppressing interferers can be adjusted. Several computer simulation examples are provided for illustration and comparison.

収録刊行物

• IEICE transactions on communications

  IEICE transactions on communications 90 (7), 1791-1800, 2007-07-01

  一般社団法人電子情報通信学会

キーワード

• adaptive arrays
• independent component analysis

詳細情報

• CRID: 1574231877270222720
• NII論文ID: 110007541004
• NII書誌ID: AA10826261
• ISSN: 09168516
• 本文言語コード: en
• データソース種別:
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