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Presentation 2022-10-14 11:05
A Study of Blind Estimation for Sparse Channel
Yosuke Sugiura, Kaito Shinoda, Nozomiko Yasui, Tetsuya Shimamura (Saitama Univ.)
Abstract (in Japanese) (See Japanese page) 
(in English) In this paper, we propose an estimation method for sparse channel without a pilot symbol in wireless communication based on MIMO-OFDM system. A method using pilot symbols known by the transmitter is a typical approach for the channel estimation. Although this approach achieves an accurate channel estimation, the frequency efficiency deteriorates due to the high proportion of pilot symbols in the sending data. The conventional channel estimation for sparse channel detects the non-zero taps in sparse channel and then obtain the values of the coefficients at the non-zero taps.
The conventional method has a problem that its whole performance extremely depends on the accuracy of the former zero-tap detection. The proposed method therefore solves this problem by adding the algorithm adjusting the detected zero-tap positions to the latter of the conventional method. Finally, through the computational simulation, we verify that the proposed method improves the mean bit error rate in sparse channel environment.
Keyword (in Japanese) (See Japanese page) 
(in English) Blind channel estimation / Sparse channel / / / / / /  
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Conference Information
Committee BCT IEICE-SIS  
Conference Date 2022-10-13 - 2022-10-14 
Place (in Japanese) (See Japanese page) 
Place (in English) Hachinohe Institute of Technology 
Topics (in Japanese) (See Japanese page) 
Topics (in English) System Implementation Technology, Short Range Wireless Systems, Smart Multimedia Systems, Broadcasting Technology, etc. 
Paper Information
Registration To IEICE-SIS 
Conference Code 2022-10-SIS-BCT 
Language Japanese 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) A Study of Blind Estimation for Sparse Channel 
Sub Title (in English)  
Keyword(1) Blind channel estimation  
Keyword(2) Sparse channel  
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1st Author's Name Yosuke Sugiura  
1st Author's Affiliation Saitama University (Saitama Univ.)
2nd Author's Name Kaito Shinoda  
2nd Author's Affiliation Saitama University (Saitama Univ.)
3rd Author's Name Nozomiko Yasui  
3rd Author's Affiliation Saitama University (Saitama Univ.)
4th Author's Name Tetsuya Shimamura  
4th Author's Affiliation Saitama University (Saitama Univ.)
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Speaker Author-1 
Date Time 2022-10-14 11:05:00 
Presentation Time 20 minutes 
Registration for IEICE-SIS 
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Volume (vol) vol.46 
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