In this paper the application of a linear-quadratic processor is proposed for detection of each user's signal in a direct sequence code division multiple access scheme and, in particular, for W-CDMA systems. In this method, the knowledge of the user of interest, and some statistical knowledge of interfering transmitters' signals are used to detect the desired user's signal without needing exact "a priori" knowledge of the interfering signal parameters such as spreading sequences and signal powers. Parameters of the proposed processor, which are derived so as to maximise the signal-to-interference-plus-noise ratio (SINR), can generally be obtained by solving a system of linear equations for which many effective techniques exist. A model for this detection procedure is developed and shown--through analytical and numerical results--to offer a good compromise between complexity and quality of performance.
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Mohammad-Reza SHIKH-BAHAEI, A. Hamid AGHVAMI, Ali GHORASHI, Nader ALI-AKBARIAN, "A Statistical Processing Approach to Interference Cancellation in W-CDMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E83-B, no. 8, pp. 1619-1630, August 2000, doi: .
Abstract: In this paper the application of a linear-quadratic processor is proposed for detection of each user's signal in a direct sequence code division multiple access scheme and, in particular, for W-CDMA systems. In this method, the knowledge of the user of interest, and some statistical knowledge of interfering transmitters' signals are used to detect the desired user's signal without needing exact "a priori" knowledge of the interfering signal parameters such as spreading sequences and signal powers. Parameters of the proposed processor, which are derived so as to maximise the signal-to-interference-plus-noise ratio (SINR), can generally be obtained by solving a system of linear equations for which many effective techniques exist. A model for this detection procedure is developed and shown--through analytical and numerical results--to offer a good compromise between complexity and quality of performance.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e83-b_8_1619/_p
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@ARTICLE{e83-b_8_1619,
author={Mohammad-Reza SHIKH-BAHAEI, A. Hamid AGHVAMI, Ali GHORASHI, Nader ALI-AKBARIAN, },
journal={IEICE TRANSACTIONS on Communications},
title={A Statistical Processing Approach to Interference Cancellation in W-CDMA Systems},
year={2000},
volume={E83-B},
number={8},
pages={1619-1630},
abstract={In this paper the application of a linear-quadratic processor is proposed for detection of each user's signal in a direct sequence code division multiple access scheme and, in particular, for W-CDMA systems. In this method, the knowledge of the user of interest, and some statistical knowledge of interfering transmitters' signals are used to detect the desired user's signal without needing exact "a priori" knowledge of the interfering signal parameters such as spreading sequences and signal powers. Parameters of the proposed processor, which are derived so as to maximise the signal-to-interference-plus-noise ratio (SINR), can generally be obtained by solving a system of linear equations for which many effective techniques exist. A model for this detection procedure is developed and shown--through analytical and numerical results--to offer a good compromise between complexity and quality of performance.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - A Statistical Processing Approach to Interference Cancellation in W-CDMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 1619
EP - 1630
AU - Mohammad-Reza SHIKH-BAHAEI
AU - A. Hamid AGHVAMI
AU - Ali GHORASHI
AU - Nader ALI-AKBARIAN
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E83-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2000
AB - In this paper the application of a linear-quadratic processor is proposed for detection of each user's signal in a direct sequence code division multiple access scheme and, in particular, for W-CDMA systems. In this method, the knowledge of the user of interest, and some statistical knowledge of interfering transmitters' signals are used to detect the desired user's signal without needing exact "a priori" knowledge of the interfering signal parameters such as spreading sequences and signal powers. Parameters of the proposed processor, which are derived so as to maximise the signal-to-interference-plus-noise ratio (SINR), can generally be obtained by solving a system of linear equations for which many effective techniques exist. A model for this detection procedure is developed and shown--through analytical and numerical results--to offer a good compromise between complexity and quality of performance.
ER -