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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
Une optimisation du prétraitement de lissage pour l’estimation des paramètres du signal corrélé a été envisagée. Bien que le facteur de lissage (le nombre de sous-tableaux) soit un paramètre libre dans le prétraitement du lissage, une stratégie utile pour le déterminer n'a pas encore été établie. Dans cet article, nous avons étudié en profondeur le facteur de lissage et avons également proposé un nouveau schéma pour l'optimiser. La méthode proposée, utilisant le profil de diversité équivalent lissé (profil SED), est capable d'évaluer l'effet du prétraitement de lissage sans aucune information a priori. Par conséquent, cette méthode est applicable à l’estimation réelle des paramètres de trajets multiples.
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Kei SAKAGUCHI, Jun-ichi TAKADA, Kiyomichi ARAKI, "An Optimization of Smoothing Preprocessing for Correlated Signal Parameter Estimation" in IEICE TRANSACTIONS on Communications,
vol. E83-B, no. 9, pp. 2117-2123, September 2000, doi: .
Abstract: An optimization of the smoothing preprocessing for the correlated signal parameter estimation was considered. Although the smoothing factor (the number of subarrays) is a free parameter in the smoothing preprocessing, a useful strategy to determine it has not yet been established. In this paper, we investigated thoroughly about the smoothing factor and also proposed a new scheme to optimize it. The proposed method, using the smoothed equivalent diversity profile (SED profile), is able to evaluate the effect of smoothing preprocessing without any a priori information. Therefore, this method is applicable in the real multipath parameter estimation.
URL: https://global.ieice.org/en_transactions/communications/10.1587/e83-b_9_2117/_p
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@ARTICLE{e83-b_9_2117,
author={Kei SAKAGUCHI, Jun-ichi TAKADA, Kiyomichi ARAKI, },
journal={IEICE TRANSACTIONS on Communications},
title={An Optimization of Smoothing Preprocessing for Correlated Signal Parameter Estimation},
year={2000},
volume={E83-B},
number={9},
pages={2117-2123},
abstract={An optimization of the smoothing preprocessing for the correlated signal parameter estimation was considered. Although the smoothing factor (the number of subarrays) is a free parameter in the smoothing preprocessing, a useful strategy to determine it has not yet been established. In this paper, we investigated thoroughly about the smoothing factor and also proposed a new scheme to optimize it. The proposed method, using the smoothed equivalent diversity profile (SED profile), is able to evaluate the effect of smoothing preprocessing without any a priori information. Therefore, this method is applicable in the real multipath parameter estimation.},
keywords={},
doi={},
ISSN={},
month={September},}
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TY - JOUR
TI - An Optimization of Smoothing Preprocessing for Correlated Signal Parameter Estimation
T2 - IEICE TRANSACTIONS on Communications
SP - 2117
EP - 2123
AU - Kei SAKAGUCHI
AU - Jun-ichi TAKADA
AU - Kiyomichi ARAKI
PY - 2000
DO -
JO - IEICE TRANSACTIONS on Communications
SN -
VL - E83-B
IS - 9
JA - IEICE TRANSACTIONS on Communications
Y1 - September 2000
AB - An optimization of the smoothing preprocessing for the correlated signal parameter estimation was considered. Although the smoothing factor (the number of subarrays) is a free parameter in the smoothing preprocessing, a useful strategy to determine it has not yet been established. In this paper, we investigated thoroughly about the smoothing factor and also proposed a new scheme to optimize it. The proposed method, using the smoothed equivalent diversity profile (SED profile), is able to evaluate the effect of smoothing preprocessing without any a priori information. Therefore, this method is applicable in the real multipath parameter estimation.
ER -