Presentation 2003/7/15
Turbo Decoding Algorithms for Burst Error Channels : Efficient Decoding Algorithms of Block Turbo Codes
Shinji WAKASA, Hideki YAGI, Manabu KOBAYASHI, Shigeichi HIRASAWA,
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Abstract(in English) A turbo decoding algorithm, a well-known decoding algorithm of turbo codes, has been proposed for the additive white Gaussian noise channels. When we consider practical communication channels, they usually have memory. Recently, turbo decoding algorithms for burst error channels have been studied where the component codes are convolutional codes. For block turbo codes, decoding algorithms have not been studied enough. In this paper, we propose novel block turbo decoding algorithms for burst error channels and show by simulation results that the proposed decoding algorithms have good error performance.
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Keyword(in English) block turbo codes / h-_sOS decoding algorithm / hidden Markov model / extrinsic information
Paper # IT2003-21(2003-07)
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Committee IT
Conference Date 2003/7/15(1days)
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Registration To Information Theory (IT)
Language JPN
Title (in Japanese) (See Japanese page)
Sub Title (in Japanese) (See Japanese page)
Title (in English) Turbo Decoding Algorithms for Burst Error Channels : Efficient Decoding Algorithms of Block Turbo Codes
Sub Title (in English)
Keyword(1) block turbo codes
Keyword(2) h-_sOS decoding algorithm
Keyword(3) hidden Markov model
Keyword(4) extrinsic information
1st Author's Name Shinji WAKASA
1st Author's Affiliation Department of Industrial and Management Systems Engineering, School of Science and Engineering,Waseda University()
2nd Author's Name Hideki YAGI
2nd Author's Affiliation Department of Industrial and Management Systems Engineering, School of Science and Engineering,Waseda University
3rd Author's Name Manabu KOBAYASHI
3rd Author's Affiliation Faculty of Engineering, Shonan Institute of Technology
4th Author's Name Shigeichi HIRASAWA
4th Author's Affiliation Department of Industrial and Management Systems Engineering, School of Science and Engineering,Waseda University
Date 2003/7/15
Paper # IT2003-21(2003-07)
Volume (vol) vol.103
Number (no) 214
Page pp.pp.-
#Pages 6
Date of Issue