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Paper Abstract and Keywords
Presentation 2014-01-30 14:35
Low Complexity Sparse Channel Estimation based on Compressive Sensing for OFDM System
Syouhaku Gyuu, Minoru Okada (NAIST), Ziji Ma (Hunan University), Takeshi Higashino (NAIST)
Abstract (in Japanese) (See Japanese page) 
(in English) Orthogonal Frequency Division Multiplexing (OFDM) is a multi-carrier modulation scheme which has been widely used in wideband digital communication systems. Recently, a novel technique called Compressive Sensing (CS) has been proposed to estimate the Channel State Information (CSI) for OFDM system, which provides an improvement of channel estimation performance even in the double-selective fading channel. However, the high computational complexity of CS restricts its implementation of practical applications. In this paper, a new method using 2-Step CS-based (2-SCS) channel estimation is proposed, which can effectively reduce the computational complexity. The Numerical results demonstrate that the proposed method gives accurate channel estimation performance for OFDM system.
Keyword (in Japanese) (See Japanese page) 
(in English) OFDM / Channel Estimation / Compressive Sensing / Orthogonal Matching Pursuit / Dantzig Selector / / /  
Reference Info. ITE Tech. Rep., vol. 38, no. 5, BCT2014-31, pp. 121-124, Jan. 2014.
Paper # BCT2014-31 
Date of Issue 2014-01-22 (BCT) 
ISSN Print edition: ISSN 1342-6893  Online edition: ISSN 2424-1970
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Conference Information
Conference Date 2014-01-29 - 2014-01-30 
Place (in Japanese) (See Japanese page) 
Place (in English) Nagasaki Univ. 
Topics (in Japanese) (See Japanese page) 
Topics (in English)  
Paper Information
Registration To BCT 
Conference Code 2014-01-BCT-KYUSHU-BT-AP-S-FUKUOKA 
Language English 
Title (in Japanese) (See Japanese page) 
Sub Title (in Japanese) (See Japanese page) 
Title (in English) Low Complexity Sparse Channel Estimation based on Compressive Sensing for OFDM System 
Sub Title (in English)  
Keyword(1) OFDM  
Keyword(2) Channel Estimation  
Keyword(3) Compressive Sensing  
Keyword(4) Orthogonal Matching Pursuit  
Keyword(5) Dantzig Selector  
1st Author's Name Syouhaku Gyuu  
1st Author's Affiliation Nara Institute of Science and Technology (NAIST)
2nd Author's Name Minoru Okada  
2nd Author's Affiliation Nara Institute of Science and Technology (NAIST)
3rd Author's Name Ziji Ma  
3rd Author's Affiliation Hunan University (Hunan University)
4th Author's Name Takeshi Higashino  
4th Author's Affiliation Nara Institute of Science and Technology (NAIST)
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Speaker Author-1 
Date Time 2014-01-30 14:35:00 
Presentation Time 25 minutes 
Registration for BCT 
Paper # BCT2014-31 
Volume (vol) vol.38 
Number (no) no.5 
Page pp.121-124 
Date of Issue 2014-01-22 (BCT) 

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