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".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
Cet article propose une méthode pour améliorer la réception de la diffusion numérique par satellite dans un véhicule en mouvement. Selon certaines études, les antennes utilisées pour la réception mobile seront plus petites dans la prochaine génération et la réception sera plus difficile en raison d'un canal à trajets multiples qui s'évanouit avec des retards dans un faible rapport porteuse/bruit. Les approches couramment utilisées pour réduire l'interférence entre symboles provoquée par un canal multitrajet à évanouissement avec des retards sont les séquences pilotes et la réception en diversité. Toutefois, la radiodiffusion numérique par satellite ne transmet pas de séquences pilotes pour l'estimation des canaux et il n'est pas possible d'installer plusieurs antennes dans un véhicule. Cet article ne propose aucun changement aux normes de diffusion mais explique comment traiter les signaux satellite numériques actuellement disponibles pour obtenir de meilleurs résultats. Notre méthode ne repose pas sur les séquences pilotes ou la réception en diversité, mais consiste en des méthodes d'estimation de canal et d'inférence stochastique. Pour chaque tâche, deux méthodes sont proposées. Les méthodes d'estimation du maximum de vraisemblance et d'appariement statistique d'ordre supérieur sont proposées pour l'estimation, et les méthodes d'inférence marginale et de probabilité conjointe sont proposées pour l'inférence stochastique. Les améliorations ont été confirmées par des expériences avec des simulations numériques et des données réelles. Les coûts de calcul sont également discutés pour une mise en œuvre future.
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Masatoshi HAMADA, Shiro IKEDA, "Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception" in IEICE TRANSACTIONS on Communications,
vol. E91-B, no. 12, pp. 3886-3898, December 2008, doi: 10.1093/ietcom/e91-b.12.3886.
Abstract: This paper proposes a method of improving reception of digital satellite broadcasting in a moving vehicle. According to some studies, the antennas used for mobile reception will be smaller in the next generation and reception will be more difficult because of a fading multipath channel with delays in a low carrier-to-noise ratio. Commonly used approaches to reduce the inter symbol interference caused by a fading multipath channel with delays are pilot sequences and diversity reception. Digital satellite broadcasting, however, does not transmit pilot sequences for channel estimation and it is not possible to install multiple antennas in a vehicle. This paper does not propose any change to the broadcasting standards but discusses how to process currently available digital satellite signals to obtain better results. Our method does not rely on the pilot sequences or diversity reception, but consists of channel estimation and stochastic inference methods. For each task, two methods are proposed. The maximum likelihood estimation and higher order statistics matching methods are proposed for the estimation, and the marginal with the joint probability inference methods are proposed for the stochastic inference. The improvements were confirmed through experiments with numerical simulations and real data. The computational costs are also discussed for future implementation.
URL: https://global.ieice.org/en_transactions/communications/10.1093/ietcom/e91-b.12.3886/_p
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@ARTICLE{e91-b_12_3886,
author={Masatoshi HAMADA, Shiro IKEDA, },
journal={IEICE TRANSACTIONS on Communications},
title={Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception},
year={2008},
volume={E91-B},
number={12},
pages={3886-3898},
abstract={This paper proposes a method of improving reception of digital satellite broadcasting in a moving vehicle. According to some studies, the antennas used for mobile reception will be smaller in the next generation and reception will be more difficult because of a fading multipath channel with delays in a low carrier-to-noise ratio. Commonly used approaches to reduce the inter symbol interference caused by a fading multipath channel with delays are pilot sequences and diversity reception. Digital satellite broadcasting, however, does not transmit pilot sequences for channel estimation and it is not possible to install multiple antennas in a vehicle. This paper does not propose any change to the broadcasting standards but discusses how to process currently available digital satellite signals to obtain better results. Our method does not rely on the pilot sequences or diversity reception, but consists of channel estimation and stochastic inference methods. For each task, two methods are proposed. The maximum likelihood estimation and higher order statistics matching methods are proposed for the estimation, and the marginal with the joint probability inference methods are proposed for the stochastic inference. The improvements were confirmed through experiments with numerical simulations and real data. The computational costs are also discussed for future implementation.},
keywords={},
doi={10.1093/ietcom/e91-b.12.3886},
ISSN={1745-1345},
month={December},}
Copier
TY - JOUR
TI - Channel Estimation and Code Word Inference for Mobile Digital Satellite Broadcasting Reception
T2 - IEICE TRANSACTIONS on Communications
SP - 3886
EP - 3898
AU - Masatoshi HAMADA
AU - Shiro IKEDA
PY - 2008
DO - 10.1093/ietcom/e91-b.12.3886
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E91-B
IS - 12
JA - IEICE TRANSACTIONS on Communications
Y1 - December 2008
AB - This paper proposes a method of improving reception of digital satellite broadcasting in a moving vehicle. According to some studies, the antennas used for mobile reception will be smaller in the next generation and reception will be more difficult because of a fading multipath channel with delays in a low carrier-to-noise ratio. Commonly used approaches to reduce the inter symbol interference caused by a fading multipath channel with delays are pilot sequences and diversity reception. Digital satellite broadcasting, however, does not transmit pilot sequences for channel estimation and it is not possible to install multiple antennas in a vehicle. This paper does not propose any change to the broadcasting standards but discusses how to process currently available digital satellite signals to obtain better results. Our method does not rely on the pilot sequences or diversity reception, but consists of channel estimation and stochastic inference methods. For each task, two methods are proposed. The maximum likelihood estimation and higher order statistics matching methods are proposed for the estimation, and the marginal with the joint probability inference methods are proposed for the stochastic inference. The improvements were confirmed through experiments with numerical simulations and real data. The computational costs are also discussed for future implementation.
ER -