IEICE TRANSACTIONS on Communications
An Optimization of Smoothing Preprocessing for Correlated Signal Parameter Estimation
Summary :
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.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E83-B No.9 pp.2117-2123
- Publication Date
- 2000/09/25
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- PAPER
- Category
- Antenna and Propagation
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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 -
English
