The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
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The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Nous proposons un algorithme de réduction de dimension pour le récepteur de la liaison descendante des systèmes à accès multiple par répartition en code à séquence directe (DS-CDMA) dans lequel les émetteurs et les récepteurs emploient des réseaux d'antennes constitués de plusieurs éléments. Pour estimer les paramètres des canaux d'ordre élevé, nous développons une architecture en couches utilisant des algorithmes d'estimation de paramètres à dimension réduite pour estimer les canaux multitrajets sélectifs en fréquence. Dans l'architecture proposée, pour exploiter les caractéristiques géométriques spatio-temporelles des canaux à trajets multiples, des formateurs de faisceaux spatiaux et des filtres temporels contraints (ou sans contrainte) sont adoptés pour le regroupement par trajets multiples en cluster et l'isolation des trajets. En conjonction avec les techniques de suppression des interférences d'accès multiple (MAI), l'architecture proposée estime conjointement la direction des arrivées, les retards de propagation et les amplitudes d'évanouissement des trajets multiples d'évanouissement de la liaison descendante. Avec les sorties de l'architecture proposée, les signaux d'intérêt peuvent alors être naturellement détectés en utilisant une combinaison de rapport maximum par trajet. Par rapport aux techniques traditionnelles, telles que l'algorithme JADE (Joint-Angle-and-Delay-Estimation) pour l'estimation conjointe du délai DOA et l'algorithme d'erreur quadratique moyenne minimale spatio-temporelle (ST-MMSE) pour la détection du signal, les simulations informatiques montrent que l'algorithme proposé atténue considérablement la complexité de calcul au détriment d'une légère dégradation des performances.
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Yung-Yi WANG, Wen-Hsien FANG, Jiunn-Tsair CHEN, "A Space-Time Signal Decomposition Algorithm for Downlink MIMO DS-CDMA Receivers" in IEICE TRANSACTIONS on Communications,
vol. E92-B, no. 6, pp. 2131-2141, June 2009, doi: 10.1587/transcom.E92.B.2131.
Abstract: We propose a dimension reduction algorithm for the receiver of the downlink of direct-sequence code-division multiple access (DS-CDMA) systems in which both the transmitters and the receivers employ antenna arrays of multiple elements. To estimate the high order channel parameters, we develop a layered architecture using dimension-reduced parameter estimation algorithms to estimate the frequency-selective multipath channels. In the proposed architecture, to exploit the space-time geometric characteristics of multipath channels, spatial beamformers and constrained (or unconstrained) temporal filters are adopted for clustered-multipath grouping and path isolation. In conjunction with the multiple access interference (MAI) suppression techniques, the proposed architecture jointly estimates the direction of arrivals, propagation delays, and fading amplitudes of the downlink fading multipaths. With the outputs of the proposed architecture, the signals of interest can then be naturally detected by using path-wise maximum ratio combining. Compared to the traditional techniques, such as the Joint-Angle-and-Delay-Estimation (JADE) algorithm for DOA-delay joint estimation and the space-time minimum mean square error (ST-MMSE) algorithm for signal detection, computer simulations show that the proposed algorithm substantially mitigate the computational complexity at the expense of only slight performance degradation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.E92.B.2131/_p
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@ARTICLE{e92-b_6_2131,
author={Yung-Yi WANG, Wen-Hsien FANG, Jiunn-Tsair CHEN, },
journal={IEICE TRANSACTIONS on Communications},
title={A Space-Time Signal Decomposition Algorithm for Downlink MIMO DS-CDMA Receivers},
year={2009},
volume={E92-B},
number={6},
pages={2131-2141},
abstract={We propose a dimension reduction algorithm for the receiver of the downlink of direct-sequence code-division multiple access (DS-CDMA) systems in which both the transmitters and the receivers employ antenna arrays of multiple elements. To estimate the high order channel parameters, we develop a layered architecture using dimension-reduced parameter estimation algorithms to estimate the frequency-selective multipath channels. In the proposed architecture, to exploit the space-time geometric characteristics of multipath channels, spatial beamformers and constrained (or unconstrained) temporal filters are adopted for clustered-multipath grouping and path isolation. In conjunction with the multiple access interference (MAI) suppression techniques, the proposed architecture jointly estimates the direction of arrivals, propagation delays, and fading amplitudes of the downlink fading multipaths. With the outputs of the proposed architecture, the signals of interest can then be naturally detected by using path-wise maximum ratio combining. Compared to the traditional techniques, such as the Joint-Angle-and-Delay-Estimation (JADE) algorithm for DOA-delay joint estimation and the space-time minimum mean square error (ST-MMSE) algorithm for signal detection, computer simulations show that the proposed algorithm substantially mitigate the computational complexity at the expense of only slight performance degradation.},
keywords={},
doi={10.1587/transcom.E92.B.2131},
ISSN={1745-1345},
month={June},}
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TY - JOUR
TI - A Space-Time Signal Decomposition Algorithm for Downlink MIMO DS-CDMA Receivers
T2 - IEICE TRANSACTIONS on Communications
SP - 2131
EP - 2141
AU - Yung-Yi WANG
AU - Wen-Hsien FANG
AU - Jiunn-Tsair CHEN
PY - 2009
DO - 10.1587/transcom.E92.B.2131
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E92-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2009
AB - We propose a dimension reduction algorithm for the receiver of the downlink of direct-sequence code-division multiple access (DS-CDMA) systems in which both the transmitters and the receivers employ antenna arrays of multiple elements. To estimate the high order channel parameters, we develop a layered architecture using dimension-reduced parameter estimation algorithms to estimate the frequency-selective multipath channels. In the proposed architecture, to exploit the space-time geometric characteristics of multipath channels, spatial beamformers and constrained (or unconstrained) temporal filters are adopted for clustered-multipath grouping and path isolation. In conjunction with the multiple access interference (MAI) suppression techniques, the proposed architecture jointly estimates the direction of arrivals, propagation delays, and fading amplitudes of the downlink fading multipaths. With the outputs of the proposed architecture, the signals of interest can then be naturally detected by using path-wise maximum ratio combining. Compared to the traditional techniques, such as the Joint-Angle-and-Delay-Estimation (JADE) algorithm for DOA-delay joint estimation and the space-time minimum mean square error (ST-MMSE) algorithm for signal detection, computer simulations show that the proposed algorithm substantially mitigate the computational complexity at the expense of only slight performance degradation.
ER -