This paper proposes a maximum likelihood sequence estimation (MLSE) for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of fast frequency-flat fading channels. This method that linearly predicts the fading complex envelope derives its linear prediction coefficients by the method of Lagrange multipliers, and does not require data of decision-feedback or information on the channel parameters such as the maximum Doppler frequency in contrast to conventional ones. Computer simulations under fast fading conditions demonstrate that the proposed method with an appropriate degree of polynomial approximation is superior in BER performance to the conventional method that estimates the coefficients by the RLS algorithm using a training sequence.
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Seree WANICHPAKDEEDECHA, Kazuhiko FUKAWA, Hiroshi SUZUKI, Satoshi SUYAMA, "MLSE Detection with Blind Linear Prediction for Differential Space-Time Block Code Systems" in IEICE TRANSACTIONS on Communications,
vol. E90-B, no. 4, pp. 926-933, April 2007, doi: 10.1093/ietcom/e90-b.4.926.
Abstract: This paper proposes a maximum likelihood sequence estimation (MLSE) for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of fast frequency-flat fading channels. This method that linearly predicts the fading complex envelope derives its linear prediction coefficients by the method of Lagrange multipliers, and does not require data of decision-feedback or information on the channel parameters such as the maximum Doppler frequency in contrast to conventional ones. Computer simulations under fast fading conditions demonstrate that the proposed method with an appropriate degree of polynomial approximation is superior in BER performance to the conventional method that estimates the coefficients by the RLS algorithm using a training sequence.
URL: https://globals.ieice.org/en_transactions/communications/10.1093/ietcom/e90-b.4.926/_p
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@ARTICLE{e90-b_4_926,
author={Seree WANICHPAKDEEDECHA, Kazuhiko FUKAWA, Hiroshi SUZUKI, Satoshi SUYAMA, },
journal={IEICE TRANSACTIONS on Communications},
title={MLSE Detection with Blind Linear Prediction for Differential Space-Time Block Code Systems},
year={2007},
volume={E90-B},
number={4},
pages={926-933},
abstract={This paper proposes a maximum likelihood sequence estimation (MLSE) for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of fast frequency-flat fading channels. This method that linearly predicts the fading complex envelope derives its linear prediction coefficients by the method of Lagrange multipliers, and does not require data of decision-feedback or information on the channel parameters such as the maximum Doppler frequency in contrast to conventional ones. Computer simulations under fast fading conditions demonstrate that the proposed method with an appropriate degree of polynomial approximation is superior in BER performance to the conventional method that estimates the coefficients by the RLS algorithm using a training sequence.},
keywords={},
doi={10.1093/ietcom/e90-b.4.926},
ISSN={1745-1345},
month={April},}
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TY - JOUR
TI - MLSE Detection with Blind Linear Prediction for Differential Space-Time Block Code Systems
T2 - IEICE TRANSACTIONS on Communications
SP - 926
EP - 933
AU - Seree WANICHPAKDEEDECHA
AU - Kazuhiko FUKAWA
AU - Hiroshi SUZUKI
AU - Satoshi SUYAMA
PY - 2007
DO - 10.1093/ietcom/e90-b.4.926
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E90-B
IS - 4
JA - IEICE TRANSACTIONS on Communications
Y1 - April 2007
AB - This paper proposes a maximum likelihood sequence estimation (MLSE) for the differential space-time block code (DSTBC) in cooperation with blind linear prediction (BLP) of fast frequency-flat fading channels. This method that linearly predicts the fading complex envelope derives its linear prediction coefficients by the method of Lagrange multipliers, and does not require data of decision-feedback or information on the channel parameters such as the maximum Doppler frequency in contrast to conventional ones. Computer simulations under fast fading conditions demonstrate that the proposed method with an appropriate degree of polynomial approximation is superior in BER performance to the conventional method that estimates the coefficients by the RLS algorithm using a training sequence.
ER -