IEICE TRANSACTIONS on Fundamentals
A Low Complexity 1D-Based Successive GSC Structure for 2D Adaptive Beamformer Implementation
Summary :
In this study, we propose a one dimensional (1D) based successive generalized sidelobe canceller (GSC) structure for the implementation of 2D adaptive beamformers using a uniform rectangular antenna array (URA). The proposed approach takes advantage of the URA feature that the 2D spatial signature of the receive signal can be decomposed into an outer product of two 1D spatial signatures. The 1D spatial signatures lie in the column and the row spaces of the receive signal matrix, respectively. It follows that the interferers can be successively eliminated by two rounds of 1D-based GSC structure. As compared to the conventional 2D-GSC structure, computer simulations show that in addition to having significantly low computational complexity, the proposed adaptive approach possesses higher convergence rate.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E94-A No.11 pp.2448-2452
- Publication Date
- 2011/11/01
- Publicized
- Online ISSN
- 1745-1337
- DOI
- 10.1587/transfun.E94.A.2448
- Type of Manuscript
- LETTER
- Category
- Digital Signal Processing
Authors
Keyword
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Yung-Yi WANG, "A Low Complexity 1D-Based Successive GSC Structure for 2D Adaptive Beamformer Implementation" in IEICE TRANSACTIONS on Fundamentals,
vol. E94-A, no. 11, pp. 2448-2452, November 2011, doi: 10.1587/transfun.E94.A.2448.
Abstract: In this study, we propose a one dimensional (1D) based successive generalized sidelobe canceller (GSC) structure for the implementation of 2D adaptive beamformers using a uniform rectangular antenna array (URA). The proposed approach takes advantage of the URA feature that the 2D spatial signature of the receive signal can be decomposed into an outer product of two 1D spatial signatures. The 1D spatial signatures lie in the column and the row spaces of the receive signal matrix, respectively. It follows that the interferers can be successively eliminated by two rounds of 1D-based GSC structure. As compared to the conventional 2D-GSC structure, computer simulations show that in addition to having significantly low computational complexity, the proposed adaptive approach possesses higher convergence rate.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/transfun.E94.A.2448/_p
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@ARTICLE{e94-a_11_2448,
author={Yung-Yi WANG, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={A Low Complexity 1D-Based Successive GSC Structure for 2D Adaptive Beamformer Implementation},
year={2011},
volume={E94-A},
number={11},
pages={2448-2452},
abstract={In this study, we propose a one dimensional (1D) based successive generalized sidelobe canceller (GSC) structure for the implementation of 2D adaptive beamformers using a uniform rectangular antenna array (URA). The proposed approach takes advantage of the URA feature that the 2D spatial signature of the receive signal can be decomposed into an outer product of two 1D spatial signatures. The 1D spatial signatures lie in the column and the row spaces of the receive signal matrix, respectively. It follows that the interferers can be successively eliminated by two rounds of 1D-based GSC structure. As compared to the conventional 2D-GSC structure, computer simulations show that in addition to having significantly low computational complexity, the proposed adaptive approach possesses higher convergence rate.},
keywords={},
doi={10.1587/transfun.E94.A.2448},
ISSN={1745-1337},
month={November},}
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TY - JOUR
TI - A Low Complexity 1D-Based Successive GSC Structure for 2D Adaptive Beamformer Implementation
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2448
EP - 2452
AU - Yung-Yi WANG
PY - 2011
DO - 10.1587/transfun.E94.A.2448
JO - IEICE TRANSACTIONS on Fundamentals
SN - 1745-1337
VL - E94-A
IS - 11
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - November 2011
AB - In this study, we propose a one dimensional (1D) based successive generalized sidelobe canceller (GSC) structure for the implementation of 2D adaptive beamformers using a uniform rectangular antenna array (URA). The proposed approach takes advantage of the URA feature that the 2D spatial signature of the receive signal can be decomposed into an outer product of two 1D spatial signatures. The 1D spatial signatures lie in the column and the row spaces of the receive signal matrix, respectively. It follows that the interferers can be successively eliminated by two rounds of 1D-based GSC structure. As compared to the conventional 2D-GSC structure, computer simulations show that in addition to having significantly low computational complexity, the proposed adaptive approach possesses higher convergence rate.
ER -
English
