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 nouveau schéma adaptatif de détection différentielle à symboles multiples (MSDD) qui présente d'excellentes performances sur les canaux à évanouissement sélectif en fréquence (FSF). Le schéma MSDD adaptatif consiste en un estimateur de canal des moindres carrés moyens adaptatif et non cohérent qui peut réaliser une estimation de canal sans aucun délai de décision et sans MSDD. L'algorithme M est introduit dans ce schéma de détection pour réduire la complication du calcul due à l'augmentation de la longueur de séquence observée dans le MSDD. Grâce à l'application de l'estimateur de canal adaptatif et de l'algorithme M, ce MSDD adaptatif permet que l'estimation de canal soit réalisée pour chaque symbole le long de M chemins survivants sans aucun délai de décision. Et les performances SER de ce MSDD adaptatif ne sont pas affectées par la fluctuation de phase introduite par un canal car le MSDD et l'estimateur de canal non cohérent sont appliqués. Le schéma MSDD adaptatif est appliqué à la constellation typique de 16APSK, du (4,12) QAM et du QAM en étoile. Les excellentes performances de suivi de ce schéma MSDD adaptatif sur les canaux FSF sont confirmées par des simulations informatiques.
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Mingya LIU, Shiro HANDA, Masanobu MACHIDA, Shinjiro OSHITA, "Adaptive Multiple-Symbol Differential Detection of MAPSK over Frequency Selective Fading Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 6, pp. 1175-1183, June 2000, doi: .
Abstract: We propose a novel adaptive multiple-symbol differential detection (MSDD) scheme that has excellent performance over frequency selective fading (FSF) channels. The adaptive MSDD scheme consists of an adaptive noncoherent least mean square channel estimator that can accomplish channel estimation without any decision delay and the MSDD. The M-algorithm is introduced into this detection scheme to reduce the complication of computation due to increasing observed sequence length in the MSDD. Because of the application of the adaptive channel estimator and the M-algorithm, this adaptive MSDD make it possible that channel estimation is accomplished for every symbol along M surviving paths without any decision delay. And the SER performance of this adaptive MSDD is not affected by phase fluctuation introduced by a channel because the MSDD and the noncoherent channel estimator are applied. The adaptive MSDD scheme is applied to typical constellation of 16APSK, the (4,12) QAM and the star QAM. The excellent tracking performance of this adaptive MSDD scheme over FSF channels is confirmed by computer simulations.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_6_1175/_p
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@ARTICLE{e83-a_6_1175,
author={Mingya LIU, Shiro HANDA, Masanobu MACHIDA, Shinjiro OSHITA, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Adaptive Multiple-Symbol Differential Detection of MAPSK over Frequency Selective Fading Channels},
year={2000},
volume={E83-A},
number={6},
pages={1175-1183},
abstract={We propose a novel adaptive multiple-symbol differential detection (MSDD) scheme that has excellent performance over frequency selective fading (FSF) channels. The adaptive MSDD scheme consists of an adaptive noncoherent least mean square channel estimator that can accomplish channel estimation without any decision delay and the MSDD. The M-algorithm is introduced into this detection scheme to reduce the complication of computation due to increasing observed sequence length in the MSDD. Because of the application of the adaptive channel estimator and the M-algorithm, this adaptive MSDD make it possible that channel estimation is accomplished for every symbol along M surviving paths without any decision delay. And the SER performance of this adaptive MSDD is not affected by phase fluctuation introduced by a channel because the MSDD and the noncoherent channel estimator are applied. The adaptive MSDD scheme is applied to typical constellation of 16APSK, the (4,12) QAM and the star QAM. The excellent tracking performance of this adaptive MSDD scheme over FSF channels is confirmed by computer simulations.},
keywords={},
doi={},
ISSN={},
month={June},}
Copier
TY - JOUR
TI - Adaptive Multiple-Symbol Differential Detection of MAPSK over Frequency Selective Fading Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1175
EP - 1183
AU - Mingya LIU
AU - Shiro HANDA
AU - Masanobu MACHIDA
AU - Shinjiro OSHITA
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 6
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - June 2000
AB - We propose a novel adaptive multiple-symbol differential detection (MSDD) scheme that has excellent performance over frequency selective fading (FSF) channels. The adaptive MSDD scheme consists of an adaptive noncoherent least mean square channel estimator that can accomplish channel estimation without any decision delay and the MSDD. The M-algorithm is introduced into this detection scheme to reduce the complication of computation due to increasing observed sequence length in the MSDD. Because of the application of the adaptive channel estimator and the M-algorithm, this adaptive MSDD make it possible that channel estimation is accomplished for every symbol along M surviving paths without any decision delay. And the SER performance of this adaptive MSDD is not affected by phase fluctuation introduced by a channel because the MSDD and the noncoherent channel estimator are applied. The adaptive MSDD scheme is applied to typical constellation of 16APSK, the (4,12) QAM and the star QAM. The excellent tracking performance of this adaptive MSDD scheme over FSF channels is confirmed by computer simulations.
ER -