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
Neste artigo, uma nova abordagem é proposta para melhorar a precisão da estimativa de canal com capacidade de rastreamento de canal para sistemas adaptativos de equalização multiportadora sob canal com desvanecimento multipercurso variante no tempo. A melhoria é realizada com base na suposição de que o canal é estático durante um período de bloco transmitido e muda lentamente e linearmente ao longo de vários períodos de bloco. Ao aplicar IFFT à função de transferência de canal concatenada derivada de diferentes blocos, a melhoria da média de ruído é alcançada e uma melhor estimativa dos coeficientes de canal com algum atraso pode ser obtida. Um preditor de canal de várias etapas e um filtro de suavização são utilizados para compensar o atraso e tornar o sistema mais robusto em termos de desempenho de rastreamento de canal. A equalização adaptativa no domínio do tempo é realizada em conjunto com esta abordagem para evitar o problema de invertibilidade do canal encontrado na abordagem no domínio da frequência. Um curto período de sequências de treinamento é utilizado, resultando em um uso mais eficiente da capacidade de comunicação disponível. A eficácia da abordagem proposta é avaliada através de simulação para sistemas multiportadoras em canais com desvanecimento multipercurso variante no tempo. Os resultados mostram melhorias em relação aos esquemas anteriores de estimativa de canal.
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Wichai PONGWILAI, Sawasd TANTARATANA, "A Time-Domain Joint Adaptive Channel Estimator and Equalizer for Multi-Carrier Systems in Time-Variant Multipath Channels Using Short Training Sequences" in IEICE TRANSACTIONS on Communications,
vol. E85-B, no. 12, pp. 2797-2806, December 2002, doi: .
Abstract: In this paper, a new approach is proposed to improve the channel estimation accuracy with channel tracking capability for adaptive multicarrier equalization systems under time-variant multipath fading channel. The improvement is carried out based on the assumption that the channel is static over a transmitted block period, and slowly linearly changing over several block periods. By applying IFFT to the concatenated channel transfer function derived from different blocks, the noise-averaging improvement is achieved, and a better estimation of the channel coefficients with some delay can be obtained. A multi-step channel predictor and a smoothing filter is utilized to compensate for the delay and make the system more robust in terms of channel tracking performance. Adaptive time domain equalization is jointly performed with this approach to avoid the channel invertibility problem found in the frequency domain approach. A short period of training sequences is utilized resulting in more efficient use of available communication capacity. The effectiveness of the proposed approach is evaluated through simulation for multicarrier systems in time-variant multipath fading channels. Results show improvement over previous channel estimation schemes.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e85-b_12_2797/_p
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@ARTICLE{e85-b_12_2797,
author={Wichai PONGWILAI, Sawasd TANTARATANA, },
journal={IEICE TRANSACTIONS on Communications},
title={A Time-Domain Joint Adaptive Channel Estimator and Equalizer for Multi-Carrier Systems in Time-Variant Multipath Channels Using Short Training Sequences},
year={2002},
volume={E85-B},
number={12},
pages={2797-2806},
abstract={In this paper, a new approach is proposed to improve the channel estimation accuracy with channel tracking capability for adaptive multicarrier equalization systems under time-variant multipath fading channel. The improvement is carried out based on the assumption that the channel is static over a transmitted block period, and slowly linearly changing over several block periods. By applying IFFT to the concatenated channel transfer function derived from different blocks, the noise-averaging improvement is achieved, and a better estimation of the channel coefficients with some delay can be obtained. A multi-step channel predictor and a smoothing filter is utilized to compensate for the delay and make the system more robust in terms of channel tracking performance. Adaptive time domain equalization is jointly performed with this approach to avoid the channel invertibility problem found in the frequency domain approach. A short period of training sequences is utilized resulting in more efficient use of available communication capacity. The effectiveness of the proposed approach is evaluated through simulation for multicarrier systems in time-variant multipath fading channels. Results show improvement over previous channel estimation schemes.},
keywords={},
doi={},
ISSN={},
month={December},}
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TY - JOUR
TI - A Time-Domain Joint Adaptive Channel Estimator and Equalizer for Multi-Carrier Systems in Time-Variant Multipath Channels Using Short Training Sequences
T2 - IEICE TRANSACTIONS on Communications
SP - 2797
EP - 2806
AU - Wichai PONGWILAI
AU - Sawasd TANTARATANA
PY - 2002
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E85-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2002
AB - In this paper, a new approach is proposed to improve the channel estimation accuracy with channel tracking capability for adaptive multicarrier equalization systems under time-variant multipath fading channel. The improvement is carried out based on the assumption that the channel is static over a transmitted block period, and slowly linearly changing over several block periods. By applying IFFT to the concatenated channel transfer function derived from different blocks, the noise-averaging improvement is achieved, and a better estimation of the channel coefficients with some delay can be obtained. A multi-step channel predictor and a smoothing filter is utilized to compensate for the delay and make the system more robust in terms of channel tracking performance. Adaptive time domain equalization is jointly performed with this approach to avoid the channel invertibility problem found in the frequency domain approach. A short period of training sequences is utilized resulting in more efficient use of available communication capacity. The effectiveness of the proposed approach is evaluated through simulation for multicarrier systems in time-variant multipath fading channels. Results show improvement over previous channel estimation schemes.
ER -