We propose a robust iterative multiuser receiver for decoding convolutional coded code-division multiple access (CDMA) signals in both Gaussian and non-Gaussian channel noise. The receiver is derived from a modified maximum a-posteriori (MAP) algorithm called the max-log-MAP algorithm for robustness against erroneous channel variance estimation. Furthermore, the effect of destructive outliers arising from impulsive noise is mitigated in the proposed receiver by incorporating the robust Huber penalty function into the multiuser detector. The proposed receiver is shown to perform satisfactorily over Gaussian and non-Gaussian impulsive channels. In every iteration, cumulative improvement in the quality of the a-posteriori probabilities is also demonstrated.
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Ivan KU, Sze Wei LEE, Teong Chee CHUAH, "Iterative Multiuser Detection/Decoding for Coded CDMA Systems in Non-Gaussian Noise" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 7, pp. 1584-1593, July 2007, doi: 10.1093/ietcom/e90-b.7.1584.
Abstract: We propose a robust iterative multiuser receiver for decoding convolutional coded code-division multiple access (CDMA) signals in both Gaussian and non-Gaussian channel noise. The receiver is derived from a modified maximum a-posteriori (MAP) algorithm called the max-log-MAP algorithm for robustness against erroneous channel variance estimation. Furthermore, the effect of destructive outliers arising from impulsive noise is mitigated in the proposed receiver by incorporating the robust Huber penalty function into the multiuser detector. The proposed receiver is shown to perform satisfactorily over Gaussian and non-Gaussian impulsive channels. In every iteration, cumulative improvement in the quality of the a-posteriori probabilities is also demonstrated.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.7.1584/_p
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@ARTICLE{e90-b_7_1584,
author={Ivan KU, Sze Wei LEE, Teong Chee CHUAH, },
journal={IEICE TRANSACTIONS on Communications},
title={Iterative Multiuser Detection/Decoding for Coded CDMA Systems in Non-Gaussian Noise},
year={2007},
volume={E90-B},
number={7},
pages={1584-1593},
abstract={We propose a robust iterative multiuser receiver for decoding convolutional coded code-division multiple access (CDMA) signals in both Gaussian and non-Gaussian channel noise. The receiver is derived from a modified maximum a-posteriori (MAP) algorithm called the max-log-MAP algorithm for robustness against erroneous channel variance estimation. Furthermore, the effect of destructive outliers arising from impulsive noise is mitigated in the proposed receiver by incorporating the robust Huber penalty function into the multiuser detector. The proposed receiver is shown to perform satisfactorily over Gaussian and non-Gaussian impulsive channels. In every iteration, cumulative improvement in the quality of the a-posteriori probabilities is also demonstrated.},
keywords={},
doi={10.1093/ietcom/e90-b.7.1584},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Iterative Multiuser Detection/Decoding for Coded CDMA Systems in Non-Gaussian Noise
T2 - IEICE TRANSACTIONS on Communications
SP - 1584
EP - 1593
AU - Ivan KU
AU - Sze Wei LEE
AU - Teong Chee CHUAH
PY - 2007
DO - 10.1093/ietcom/e90-b.7.1584
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2007
AB - We propose a robust iterative multiuser receiver for decoding convolutional coded code-division multiple access (CDMA) signals in both Gaussian and non-Gaussian channel noise. The receiver is derived from a modified maximum a-posteriori (MAP) algorithm called the max-log-MAP algorithm for robustness against erroneous channel variance estimation. Furthermore, the effect of destructive outliers arising from impulsive noise is mitigated in the proposed receiver by incorporating the robust Huber penalty function into the multiuser detector. The proposed receiver is shown to perform satisfactorily over Gaussian and non-Gaussian impulsive channels. In every iteration, cumulative improvement in the quality of the a-posteriori probabilities is also demonstrated.
ER -