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
É proposto um algoritmo de estimativa de canal cego que é aplicável ao canal variante no tempo sob desvanecimento seletivo de frequência. A condição de identificabilidade do canal cego usando dados sobreamostrados temporal e espacialmente é mostrada. O algoritmo proposto consiste em duas etapas. No primeiro estágio, a matriz de equalização do canal é estimada levando em consideração as características variantes no tempo do canal. No segundo estágio, os sinais e a matriz do canal são estimados alternadamente usando a propriedade alfabética finita dos símbolos transmitidos. O retorno periódico do segundo estágio para o primeiro torna o algoritmo de estimativa cega viável para o canal variante no tempo com desvanecimento rápido. Os resultados da simulação confirmam a propriedade de convergência rápida e a eficácia do algoritmo proposto em lidar com o desvanecimento seletivo em frequência.
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Koji SHIBATA, Takuma YAGI, Takakazu SAKAI, Atsushi NAKAGAKI, "Blind Channel Estimation for Time-Varying Frequency-Selective Fading Channels" in IEICE TRANSACTIONS on Fundamentals,
vol. E83-A, no. 10, pp. 1904-1913, October 2000, doi: .
Abstract: Blind channel estimation algorithm which is applicable to the time-variant channel under frequency-selective fading is proposed. The condition on the blind channel identifiability using temporally and spatially oversampled data is shown. The proposed algorithm consists of two stages. At the first stage, the channel equalization matrix is estimated by taking account of the time-variant characteristics of the channel. At the second stage, the signals and the channel matrix are alternately estimated by using the finite alphabet property of the transmitted symbols. Periodical return from the second stage to the first makes the blind estimation algorithm feasible for the time-variant channel with fast fading. The simulation results confirm the fast convergence property and the effectiveness of the proposed algorithm in coping with the frequency-selective fading.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e83-a_10_1904/_p
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@ARTICLE{e83-a_10_1904,
author={Koji SHIBATA, Takuma YAGI, Takakazu SAKAI, Atsushi NAKAGAKI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Blind Channel Estimation for Time-Varying Frequency-Selective Fading Channels},
year={2000},
volume={E83-A},
number={10},
pages={1904-1913},
abstract={Blind channel estimation algorithm which is applicable to the time-variant channel under frequency-selective fading is proposed. The condition on the blind channel identifiability using temporally and spatially oversampled data is shown. The proposed algorithm consists of two stages. At the first stage, the channel equalization matrix is estimated by taking account of the time-variant characteristics of the channel. At the second stage, the signals and the channel matrix are alternately estimated by using the finite alphabet property of the transmitted symbols. Periodical return from the second stage to the first makes the blind estimation algorithm feasible for the time-variant channel with fast fading. The simulation results confirm the fast convergence property and the effectiveness of the proposed algorithm in coping with the frequency-selective fading.},
keywords={},
doi={},
ISSN={},
month={October},}
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TY - JOUR
TI - Blind Channel Estimation for Time-Varying Frequency-Selective Fading Channels
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 1904
EP - 1913
AU - Koji SHIBATA
AU - Takuma YAGI
AU - Takakazu SAKAI
AU - Atsushi NAKAGAKI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E83-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2000
AB - Blind channel estimation algorithm which is applicable to the time-variant channel under frequency-selective fading is proposed. The condition on the blind channel identifiability using temporally and spatially oversampled data is shown. The proposed algorithm consists of two stages. At the first stage, the channel equalization matrix is estimated by taking account of the time-variant characteristics of the channel. At the second stage, the signals and the channel matrix are alternately estimated by using the finite alphabet property of the transmitted symbols. Periodical return from the second stage to the first makes the blind estimation algorithm feasible for the time-variant channel with fast fading. The simulation results confirm the fast convergence property and the effectiveness of the proposed algorithm in coping with the frequency-selective fading.
ER -