IEICE TRANSACTIONS on Communications
Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E90-B No.7 pp.1791-1800
- Publication Date
- 2007/07/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1093/ietcom/e90-b.7.1791
- Type of Manuscript
- PAPER
- Category
- Antennas and Propagation
Authors
Keyword
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Ann-Chen CHANG, Chih-Wei JEN, Ing-Jiunn SU, "Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 7, pp. 1791-1800, July 2007, doi: 10.1093/ietcom/e90-b.7.1791.
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.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.7.1791/_p
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@ARTICLE{e90-b_7_1791,
author={Ann-Chen CHANG, Chih-Wei JEN, Ing-Jiunn SU, },
journal={IEICE TRANSACTIONS on Communications},
title={Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints},
year={2007},
volume={E90-B},
number={7},
pages={1791-1800},
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.},
keywords={},
doi={10.1093/ietcom/e90-b.7.1791},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Robust Adaptive Array Beamforming Based on Independent Component Analysis with Regularized Constraints
T2 - IEICE TRANSACTIONS on Communications
SP - 1791
EP - 1800
AU - Ann-Chen CHANG
AU - Chih-Wei JEN
AU - Ing-Jiunn SU
PY - 2007
DO - 10.1093/ietcom/e90-b.7.1791
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2007
AB - 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.
ER -
English
