In this letter, we propose a closed-form joint space-time channel and direction of arrival (DOA) blind estimation algorithm for space-time coded MC-CDMA systems equipped with a uniform linear array (ULA) at the base station in frequency-selective fading environments. We prove that the signal subspaces defined by the receive data covariance matrix can be determinately separated into an equivalent set of signal subspaces spanned by the space-time channel vector of an individual user. From these signal subspaces, the space-time channels of multiple users are estimated using the subspace method.
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Yanxing ZENG, Qinye YIN, "Closed-Form Space-Time Channel Blind Estimation for Space-Time Coded MC-CDMA Systems" in IEICE TRANSACTIONS on Communications,
vol. E88-B, no. 7, pp. 3050-3056, July 2005, doi: 10.1093/ietcom/e88-b.7.3050.
Abstract: In this letter, we propose a closed-form joint space-time channel and direction of arrival (DOA) blind estimation algorithm for space-time coded MC-CDMA systems equipped with a uniform linear array (ULA) at the base station in frequency-selective fading environments. We prove that the signal subspaces defined by the receive data covariance matrix can be determinately separated into an equivalent set of signal subspaces spanned by the space-time channel vector of an individual user. From these signal subspaces, the space-time channels of multiple users are estimated using the subspace method.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e88-b.7.3050/_p
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@ARTICLE{e88-b_7_3050,
author={Yanxing ZENG, Qinye YIN, },
journal={IEICE TRANSACTIONS on Communications},
title={Closed-Form Space-Time Channel Blind Estimation for Space-Time Coded MC-CDMA Systems},
year={2005},
volume={E88-B},
number={7},
pages={3050-3056},
abstract={In this letter, we propose a closed-form joint space-time channel and direction of arrival (DOA) blind estimation algorithm for space-time coded MC-CDMA systems equipped with a uniform linear array (ULA) at the base station in frequency-selective fading environments. We prove that the signal subspaces defined by the receive data covariance matrix can be determinately separated into an equivalent set of signal subspaces spanned by the space-time channel vector of an individual user. From these signal subspaces, the space-time channels of multiple users are estimated using the subspace method.},
keywords={},
doi={10.1093/ietcom/e88-b.7.3050},
ISSN={},
month={July},}
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TY - JOUR
TI - Closed-Form Space-Time Channel Blind Estimation for Space-Time Coded MC-CDMA Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 3050
EP - 3056
AU - Yanxing ZENG
AU - Qinye YIN
PY - 2005
DO - 10.1093/ietcom/e88-b.7.3050
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E88-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2005
AB - In this letter, we propose a closed-form joint space-time channel and direction of arrival (DOA) blind estimation algorithm for space-time coded MC-CDMA systems equipped with a uniform linear array (ULA) at the base station in frequency-selective fading environments. We prove that the signal subspaces defined by the receive data covariance matrix can be determinately separated into an equivalent set of signal subspaces spanned by the space-time channel vector of an individual user. From these signal subspaces, the space-time channels of multiple users are estimated using the subspace method.
ER -