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
A estimativa de canal de predição adaptativa auxiliada por piloto é proposta para detecção coerente em um canal de desvanecimento não seletivo de frequência. É uma extensão da estimativa de canal de média ponderada multi-slot convencional (WMSA) e consiste em 3 etapas. Um bloco de Np símbolos piloto são transmitidos periodicamente, cada bloco piloto sendo seguido por Nd símbolos de dados para formar um slot de dados. Na primeira etapa, o ganho instantâneo do canal é estimado pela adição coerente de Np símbolos piloto. Usando o K passado e K ganhos instantâneos de canal estimados futuros, a segunda etapa prevê os ganhos instantâneos de canal no final e no início do slot de dados de interesse por um preditor direto e um preditor regressivo, respectivamente. Os pesos de toque da previsão direta e da previsão retroativa são atualizados de forma adaptativa usando o algoritmo de mínimos quadrados médios normalizados (NLMS). Finalmente, na terceira etapa, o ganho instantâneo do canal em cada posição do símbolo de dados dentro do slot de dados de interesse é estimado por meio de média simples ou interpolação linear usando os dois ganhos de canal instantâneos previstos adaptativamente. A simulação computacional confirma que a estimativa de canal de predição adaptativa proposta atinge melhor desempenho de taxa de erro de bit (BER) do que a estimativa de canal WMSA convencional em um canal de desvanecimento rápido e/ou na presença de deslocamento de frequência entre um transmissor e um receptor.
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Shinsuke TAKAOKA, Fumiyuki ADACHI, "Pilot-Aided Adaptive Prediction Channel Estimation in a Frequency-Nonselective Fading Channel" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 8, pp. 1552-1560, August 2002, doi: .
Abstract: Pilot-aided adaptive prediction channel estimation is proposed for coherent detection in a frequency-nonselective fading channel. It is an extension of the conventional weighted multi-slot averaging (WMSA) channel estimation and consists of 3 steps. A block of Np pilot symbols is periodically transmitted, each pilot block being followed by Nd data symbols to form a data slot. In the first step, the instantaneous channel gain is estimated by coherent addition of Np pilot symbols. Using the K past and K future estimated instantaneous channel gains, the second step predicts the instantaneous channel gains at the end and beginning of data slot of interest by a forward predictor and a backward predictor, respectively. The tap-weights of forward prediction and backward prediction are adaptively updated using the normalized least mean square (NLMS) algorithm. Finally, in the third step, the instantaneous channel gain at each data symbol position within the data slot of interest is estimated by simple averaging or linear interpolation using the two adaptively predicted instantaneous channel gains. The computer simulation confirms that the proposed adaptive prediction channel estimation achieves better bit error rate (BER) performance than the conventional WMSA channel estimation in a fast fading channel and/or in the presence of frequency offset between a transmitter and a receiver.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_8_1552/_p
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@ARTICLE{e85-b_8_1552,
author={Shinsuke TAKAOKA, Fumiyuki ADACHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Pilot-Aided Adaptive Prediction Channel Estimation in a Frequency-Nonselective Fading Channel},
year={2002},
volume={E85-B},
number={8},
pages={1552-1560},
abstract={Pilot-aided adaptive prediction channel estimation is proposed for coherent detection in a frequency-nonselective fading channel. It is an extension of the conventional weighted multi-slot averaging (WMSA) channel estimation and consists of 3 steps. A block of Np pilot symbols is periodically transmitted, each pilot block being followed by Nd data symbols to form a data slot. In the first step, the instantaneous channel gain is estimated by coherent addition of Np pilot symbols. Using the K past and K future estimated instantaneous channel gains, the second step predicts the instantaneous channel gains at the end and beginning of data slot of interest by a forward predictor and a backward predictor, respectively. The tap-weights of forward prediction and backward prediction are adaptively updated using the normalized least mean square (NLMS) algorithm. Finally, in the third step, the instantaneous channel gain at each data symbol position within the data slot of interest is estimated by simple averaging or linear interpolation using the two adaptively predicted instantaneous channel gains. The computer simulation confirms that the proposed adaptive prediction channel estimation achieves better bit error rate (BER) performance than the conventional WMSA channel estimation in a fast fading channel and/or in the presence of frequency offset between a transmitter and a receiver.},
keywords={},
doi={},
ISSN={},
month={August},}
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TY - JOUR
TI - Pilot-Aided Adaptive Prediction Channel Estimation in a Frequency-Nonselective Fading Channel
T2 - IEICE TRANSACTIONS on Communications
SP - 1552
EP - 1560
AU - Shinsuke TAKAOKA
AU - Fumiyuki ADACHI
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2002
AB - Pilot-aided adaptive prediction channel estimation is proposed for coherent detection in a frequency-nonselective fading channel. It is an extension of the conventional weighted multi-slot averaging (WMSA) channel estimation and consists of 3 steps. A block of Np pilot symbols is periodically transmitted, each pilot block being followed by Nd data symbols to form a data slot. In the first step, the instantaneous channel gain is estimated by coherent addition of Np pilot symbols. Using the K past and K future estimated instantaneous channel gains, the second step predicts the instantaneous channel gains at the end and beginning of data slot of interest by a forward predictor and a backward predictor, respectively. The tap-weights of forward prediction and backward prediction are adaptively updated using the normalized least mean square (NLMS) algorithm. Finally, in the third step, the instantaneous channel gain at each data symbol position within the data slot of interest is estimated by simple averaging or linear interpolation using the two adaptively predicted instantaneous channel gains. The computer simulation confirms that the proposed adaptive prediction channel estimation achieves better bit error rate (BER) performance than the conventional WMSA channel estimation in a fast fading channel and/or in the presence of frequency offset between a transmitter and a receiver.
ER -