This letter deals with adaptive array beamforming based on a minimum variance distortionless response (MVDR) technique with robust capabilities for code-division multiple access signals. It has been shown that the MVDR beamformer suffers from the drawback of being very sensitive to pointing error over the eigenspace-based beamformers. For the purpose of efficient estimation and calibration, a highly efficient approach has been proposed that is implemented on polynomial rooting rather than spectral searching. However, this rooting method is suboptimal in the presence of the noise and multiple access interference (MAI). In this letter, we propose an improved polynomial rooting calibration method that is robust in both of the low signal-to-noise ratio and large MAI scenarios. Several computer simulations are provided for illustrating the effectiveness of the proposed method.
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Ann-Chen CHANG, Chun HSU, Ing-Jiunn SU, "Robust MVDR Beamforming via Polynomial Rooting Calibration for CDMA Signals" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 11, pp. 3298-3302, November 2007, doi: 10.1093/ietcom/e90-b.11.3298.
Abstract: This letter deals with adaptive array beamforming based on a minimum variance distortionless response (MVDR) technique with robust capabilities for code-division multiple access signals. It has been shown that the MVDR beamformer suffers from the drawback of being very sensitive to pointing error over the eigenspace-based beamformers. For the purpose of efficient estimation and calibration, a highly efficient approach has been proposed that is implemented on polynomial rooting rather than spectral searching. However, this rooting method is suboptimal in the presence of the noise and multiple access interference (MAI). In this letter, we propose an improved polynomial rooting calibration method that is robust in both of the low signal-to-noise ratio and large MAI scenarios. Several computer simulations are provided for illustrating the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.11.3298/_p
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@ARTICLE{e90-b_11_3298,
author={Ann-Chen CHANG, Chun HSU, Ing-Jiunn SU, },
journal={IEICE TRANSACTIONS on Communications},
title={Robust MVDR Beamforming via Polynomial Rooting Calibration for CDMA Signals},
year={2007},
volume={E90-B},
number={11},
pages={3298-3302},
abstract={This letter deals with adaptive array beamforming based on a minimum variance distortionless response (MVDR) technique with robust capabilities for code-division multiple access signals. It has been shown that the MVDR beamformer suffers from the drawback of being very sensitive to pointing error over the eigenspace-based beamformers. For the purpose of efficient estimation and calibration, a highly efficient approach has been proposed that is implemented on polynomial rooting rather than spectral searching. However, this rooting method is suboptimal in the presence of the noise and multiple access interference (MAI). In this letter, we propose an improved polynomial rooting calibration method that is robust in both of the low signal-to-noise ratio and large MAI scenarios. Several computer simulations are provided for illustrating the effectiveness of the proposed method.},
keywords={},
doi={10.1093/ietcom/e90-b.11.3298},
ISSN={1745-1345},
month={November},}
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TY - JOUR
TI - Robust MVDR Beamforming via Polynomial Rooting Calibration for CDMA Signals
T2 - IEICE TRANSACTIONS on Communications
SP - 3298
EP - 3302
AU - Ann-Chen CHANG
AU - Chun HSU
AU - Ing-Jiunn SU
PY - 2007
DO - 10.1093/ietcom/e90-b.11.3298
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2007
AB - This letter deals with adaptive array beamforming based on a minimum variance distortionless response (MVDR) technique with robust capabilities for code-division multiple access signals. It has been shown that the MVDR beamformer suffers from the drawback of being very sensitive to pointing error over the eigenspace-based beamformers. For the purpose of efficient estimation and calibration, a highly efficient approach has been proposed that is implemented on polynomial rooting rather than spectral searching. However, this rooting method is suboptimal in the presence of the noise and multiple access interference (MAI). In this letter, we propose an improved polynomial rooting calibration method that is robust in both of the low signal-to-noise ratio and large MAI scenarios. Several computer simulations are provided for illustrating the effectiveness of the proposed method.
ER -