Robust adaptive array beamforming based on independent component analysis with regularized constraints

Ann Chen Chang*, Chih Wei Jen, Ing Jiunn Su

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

5 Scopus citations

Abstract

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.

Original languageEnglish
Pages (from-to)1791-1800
Number of pages10
JournalIEICE Transactions on Communications
VolumeE90-B
Issue number7
DOIs
StatePublished - Jul 2007

Keywords

  • Adaptive arrays
  • Independent component analysis

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