Title
Robust Adaptive Array Beamforming Based On Independent Component Analysis With Regularized Constraints
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.
Year
DOI
Venue
2007
10.1093/ietcom/e90-b.7.1791
IEICE TRANSACTIONS ON COMMUNICATIONS
Keywords
Field
DocType
adaptive arrays, independent component analysis
Gradient method,Convergence (routing),Beamforming,Stochastic gradient descent,Mathematical optimization,Computer science,Algorithm,Regularization (mathematics),Interference (wave propagation),Independent component analysis,Rate of convergence,Distributed computing
Journal
Volume
Issue
ISSN
E90B
7
0916-8516
Citations 
PageRank 
References 
2
0.37
0
Authors
3
Name
Order
Citations
PageRank
Ann-Chen Chang15115.70
Chih-Wei Jen2132.20
Ing-Jiunn Su31028.88