An Optimization of Smoothing Preprocessing for Correlated Signal Parameter Estimation
スポンサーリンク
概要
- 論文の詳細を見る
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.
- 社団法人電子情報通信学会の論文
- 2000-09-25
著者
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Araki Kiyomichi
Graduate School Of Engineering Tokyo Institute Of Technology
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Araki Kiyomichi
Tokyo Inst. Of Technol. Tokyo Jpn
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TAKADA Jun-ichi
Graduate School of Engineering, Tokyo Institute of Technology
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Takada J
Tokyo Inst. Of Technol. Tokyo Jpn
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Takada J
Graduate School Of Engineering Tokyo Institute Of Technology
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Takada J
Tokyo Inst. Technol. Tokyo Jpn
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Takada Jun-ichi
Department Of International Development Engineering Graduate School Of Science And Engineering Tokyo
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SAKAGUCHI Kei
Tokyo Institute of Technology
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ARAKI Kiyomichi
Department of Computer Science, Tokyo Institute of Technology
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Sakaguchi K
Graduate School Of Engineering Tokyo Institute Of Technology
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Sakaguchi Kei
Department Of Electrical And Electronic Engineering Graduate School Of Science And Engineering Tokyo
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Araki Kiyomichi
Department Of Computer Science Tokyo Institute Of Technology
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Araki Kiyomichi
Department Of Computer Engineering Faculty Of Engineering Tokyo Institute Of Technology
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ARAKI Kiyomichi
the Tokyo Institute of Technology
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