This paper presents a new on-off beamforming algorithm to provide an optimal weight vector. The proposed algorithm is based on the eigen-space on-off algorithm for exploiting a diversity gain that is available in the signal environments of wide angle spread. The proposed technique utilizes the primary and secondary eigenvectors to form the optimal weight vector, which is robust to the angle spread. It is confirmed in this paper that the proposed algorithm shows excellent performance compared to some typical beamforming methods which degrade the receiving performance as the angle spread increases. It is also shown that the proposed algorithm has a reasonable computational complexity of O(14N) and fast convergent speed, where N is the number of antenna elements.
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Zhengzi LI, Weon-Cheol LEE, Sungsoo AHN, Seungwon CHOI, "On-Off Beamforming Algorithm Based on Eigen-Space Method for a Smart Antenna in IS-2000 1X Signal Environments" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 12, pp. 4678-4681, December 2005, doi: 10.1093/ietcom/e88-b.12.4678.
Abstract: This paper presents a new on-off beamforming algorithm to provide an optimal weight vector. The proposed algorithm is based on the eigen-space on-off algorithm for exploiting a diversity gain that is available in the signal environments of wide angle spread. The proposed technique utilizes the primary and secondary eigenvectors to form the optimal weight vector, which is robust to the angle spread. It is confirmed in this paper that the proposed algorithm shows excellent performance compared to some typical beamforming methods which degrade the receiving performance as the angle spread increases. It is also shown that the proposed algorithm has a reasonable computational complexity of O(14N) and fast convergent speed, where N is the number of antenna elements.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.12.4678/_p
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@ARTICLE{e88-b_12_4678,
author={Zhengzi LI, Weon-Cheol LEE, Sungsoo AHN, Seungwon CHOI, },
journal={IEICE TRANSACTIONS on Communications},
title={On-Off Beamforming Algorithm Based on Eigen-Space Method for a Smart Antenna in IS-2000 1X Signal Environments},
year={2005},
volume={E88-B},
number={12},
pages={4678-4681},
abstract={This paper presents a new on-off beamforming algorithm to provide an optimal weight vector. The proposed algorithm is based on the eigen-space on-off algorithm for exploiting a diversity gain that is available in the signal environments of wide angle spread. The proposed technique utilizes the primary and secondary eigenvectors to form the optimal weight vector, which is robust to the angle spread. It is confirmed in this paper that the proposed algorithm shows excellent performance compared to some typical beamforming methods which degrade the receiving performance as the angle spread increases. It is also shown that the proposed algorithm has a reasonable computational complexity of O(14N) and fast convergent speed, where N is the number of antenna elements.},
keywords={},
doi={10.1093/ietcom/e88-b.12.4678},
ISSN={},
month={December},}
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TY - JOUR
TI - On-Off Beamforming Algorithm Based on Eigen-Space Method for a Smart Antenna in IS-2000 1X Signal Environments
T2 - IEICE TRANSACTIONS on Communications
SP - 4678
EP - 4681
AU - Zhengzi LI
AU - Weon-Cheol LEE
AU - Sungsoo AHN
AU - Seungwon CHOI
PY - 2005
DO - 10.1093/ietcom/e88-b.12.4678
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2005
AB - This paper presents a new on-off beamforming algorithm to provide an optimal weight vector. The proposed algorithm is based on the eigen-space on-off algorithm for exploiting a diversity gain that is available in the signal environments of wide angle spread. The proposed technique utilizes the primary and secondary eigenvectors to form the optimal weight vector, which is robust to the angle spread. It is confirmed in this paper that the proposed algorithm shows excellent performance compared to some typical beamforming methods which degrade the receiving performance as the angle spread increases. It is also shown that the proposed algorithm has a reasonable computational complexity of O(14N) and fast convergent speed, where N is the number of antenna elements.
ER -