The subspace algorithm can be utilized for the blind detection of space-time block codes (STBC) without knowledge of channel state information (CSI) both at the transmitter and receiver. However, its performance degrades when the channels are correlated. In this letter, we analyze the impact of channel correlation from the orthogonality loss between the transmit signal subspace (TSS) and the statistical noise subspace (SNS). Based on the decoding property of the subspace algorithm, we propose a revised detection in favor of the channel correlation matrix (CCM) only known to the receiver. Then, a joint transmit-receive preprocessing scheme is derived to obtain a further performance improvement when the CCM is available both at the transmitter and receiver. Analysis and simulation results indicate that the proposed methods can significantly improve the blind detection performance of STBC over the correlated channels.
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Zhengwei GONG, Taiyi ZHANG, Jing ZHANG, "Improved Blind Decodings of STBC with Unknown and Known Channel Correlation to Transmitter" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 7, pp. 1864-1867, July 2007, doi: 10.1093/ietcom/e90-b.7.1864.
Abstract: The subspace algorithm can be utilized for the blind detection of space-time block codes (STBC) without knowledge of channel state information (CSI) both at the transmitter and receiver. However, its performance degrades when the channels are correlated. In this letter, we analyze the impact of channel correlation from the orthogonality loss between the transmit signal subspace (TSS) and the statistical noise subspace (SNS). Based on the decoding property of the subspace algorithm, we propose a revised detection in favor of the channel correlation matrix (CCM) only known to the receiver. Then, a joint transmit-receive preprocessing scheme is derived to obtain a further performance improvement when the CCM is available both at the transmitter and receiver. Analysis and simulation results indicate that the proposed methods can significantly improve the blind detection performance of STBC over the correlated channels.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.7.1864/_p
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@ARTICLE{e90-b_7_1864,
author={Zhengwei GONG, Taiyi ZHANG, Jing ZHANG, },
journal={IEICE TRANSACTIONS on Communications},
title={Improved Blind Decodings of STBC with Unknown and Known Channel Correlation to Transmitter},
year={2007},
volume={E90-B},
number={7},
pages={1864-1867},
abstract={The subspace algorithm can be utilized for the blind detection of space-time block codes (STBC) without knowledge of channel state information (CSI) both at the transmitter and receiver. However, its performance degrades when the channels are correlated. In this letter, we analyze the impact of channel correlation from the orthogonality loss between the transmit signal subspace (TSS) and the statistical noise subspace (SNS). Based on the decoding property of the subspace algorithm, we propose a revised detection in favor of the channel correlation matrix (CCM) only known to the receiver. Then, a joint transmit-receive preprocessing scheme is derived to obtain a further performance improvement when the CCM is available both at the transmitter and receiver. Analysis and simulation results indicate that the proposed methods can significantly improve the blind detection performance of STBC over the correlated channels.},
keywords={},
doi={10.1093/ietcom/e90-b.7.1864},
ISSN={1745-1345},
month={July},}
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TY - JOUR
TI - Improved Blind Decodings of STBC with Unknown and Known Channel Correlation to Transmitter
T2 - IEICE TRANSACTIONS on Communications
SP - 1864
EP - 1867
AU - Zhengwei GONG
AU - Taiyi ZHANG
AU - Jing ZHANG
PY - 2007
DO - 10.1093/ietcom/e90-b.7.1864
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 7
JA - IEICE TRANSACTIONS on Communications
Y1 - July 2007
AB - The subspace algorithm can be utilized for the blind detection of space-time block codes (STBC) without knowledge of channel state information (CSI) both at the transmitter and receiver. However, its performance degrades when the channels are correlated. In this letter, we analyze the impact of channel correlation from the orthogonality loss between the transmit signal subspace (TSS) and the statistical noise subspace (SNS). Based on the decoding property of the subspace algorithm, we propose a revised detection in favor of the channel correlation matrix (CCM) only known to the receiver. Then, a joint transmit-receive preprocessing scheme is derived to obtain a further performance improvement when the CCM is available both at the transmitter and receiver. Analysis and simulation results indicate that the proposed methods can significantly improve the blind detection performance of STBC over the correlated channels.
ER -