Channel equalization and noise reduction based on turbo codes

Kenan Büyükatak; Ersin Göse; Osman Nuri Uçan; Sedef Kent; Onur Osman

doi:10.1109/RAST.2003.1303993

Channel equalization and noise reduction based on turbo codes

Kenan Büyükatak, Ersin Göse, Osman Nuri Uçan, Sedef Kent, Onur Osman

Department of Electronics and Communication Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Citation (Scopus)

Abstract

A new class of error control coding with binary parallel concatenated recursive systematic convolution codes turbo codes- And its an application over SAR (Synthetic Aperture Radar) image transmitting is presented in this paper. The remarkable coding gains achieved by turbo code have a great influence in various area of digital communication, including cellular mobile, deep space communications and satellite communication. The basic idea is that two or more a posteriori probability decoders exchange soft information [I]. One of the decoders calculates the a posteriori probability distribution of the information sequence and passes that information to the next decoder. The new decoder uses this information and computes its own version of the probability distribution. This exchange of information is called an iteration. After a certain number of iterations, a decision is made at the second decoder. For each iteration, the probability that we decode in favor of the correct decision will improve. At the last iteration, the hard decision is made using the soft decision of the last decoder [5].

Original language	English
Title of host publication	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
Editors	S. Kurnaz, Fuat Ince, S. Onbasioglu
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	644-648
Number of pages	5
ISBN (Electronic)	0780381424, 9780780381421
DOIs	https://doi.org/10.1109/RAST.2003.1303993
Publication status	Published - 2003
Event	International Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Turkey Duration: 20 Nov 2003 → 22 Nov 2003

Publication series

Name	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

Conference

Conference	International Conference on Recent Advances in Space Technologies, RAST 2003
Country/Territory	Turkey
City	Istanbul
Period	20/11/03 → 22/11/03

Bibliographical note

Publisher Copyright:
© 2003 IEEE.

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10.1109/RAST.2003.1303993

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Büyükatak, K., Göse, E., Uçan, O. N., Kent, S., & Osman, O. (2003). Channel equalization and noise reduction based on turbo codes. In S. Kurnaz, F. Ince, & S. Onbasioglu (Eds.), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies (pp. 644-648). Article 1303993 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/RAST.2003.1303993

Büyükatak, Kenan ; Göse, Ersin ; Uçan, Osman Nuri et al. / Channel equalization and noise reduction based on turbo codes. RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. editor / S. Kurnaz ; Fuat Ince ; S. Onbasioglu. Institute of Electrical and Electronics Engineers Inc., 2003. pp. 644-648 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

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title = "Channel equalization and noise reduction based on turbo codes",

abstract = "A new class of error control coding with binary parallel concatenated recursive systematic convolution codes turbo codes- And its an application over SAR (Synthetic Aperture Radar) image transmitting is presented in this paper. The remarkable coding gains achieved by turbo code have a great influence in various area of digital communication, including cellular mobile, deep space communications and satellite communication. The basic idea is that two or more a posteriori probability decoders exchange soft information [I]. One of the decoders calculates the a posteriori probability distribution of the information sequence and passes that information to the next decoder. The new decoder uses this information and computes its own version of the probability distribution. This exchange of information is called an iteration. After a certain number of iterations, a decision is made at the second decoder. For each iteration, the probability that we decode in favor of the correct decision will improve. At the last iteration, the hard decision is made using the soft decision of the last decoder [5].",

author = "Kenan B{\"u}y{\"u}katak and Ersin G{\"o}se and U{\c c}an, {Osman Nuri} and Sedef Kent and Onur Osman",

note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; International Conference on Recent Advances in Space Technologies, RAST 2003 ; Conference date: 20-11-2003 Through 22-11-2003",

year = "2003",

doi = "10.1109/RAST.2003.1303993",

language = "English",

series = "RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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Büyükatak, K, Göse, E, Uçan, ON, Kent, S & Osman, O 2003, Channel equalization and noise reduction based on turbo codes. in S Kurnaz, F Ince & S Onbasioglu (eds), RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies., 1303993, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies, Institute of Electrical and Electronics Engineers Inc., pp. 644-648, International Conference on Recent Advances in Space Technologies, RAST 2003, Istanbul, Turkey, 20/11/03. https://doi.org/10.1109/RAST.2003.1303993

Channel equalization and noise reduction based on turbo codes. / Büyükatak, Kenan; Göse, Ersin; Uçan, Osman Nuri et al.
RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. ed. / S. Kurnaz; Fuat Ince; S. Onbasioglu. Institute of Electrical and Electronics Engineers Inc., 2003. p. 644-648 1303993 (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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PY - 2003

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N2 - A new class of error control coding with binary parallel concatenated recursive systematic convolution codes turbo codes- And its an application over SAR (Synthetic Aperture Radar) image transmitting is presented in this paper. The remarkable coding gains achieved by turbo code have a great influence in various area of digital communication, including cellular mobile, deep space communications and satellite communication. The basic idea is that two or more a posteriori probability decoders exchange soft information [I]. One of the decoders calculates the a posteriori probability distribution of the information sequence and passes that information to the next decoder. The new decoder uses this information and computes its own version of the probability distribution. This exchange of information is called an iteration. After a certain number of iterations, a decision is made at the second decoder. For each iteration, the probability that we decode in favor of the correct decision will improve. At the last iteration, the hard decision is made using the soft decision of the last decoder [5].

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Büyükatak K, Göse E, Uçan ON, Kent S, Osman O. Channel equalization and noise reduction based on turbo codes. In Kurnaz S, Ince F, Onbasioglu S, editors, RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies. Institute of Electrical and Electronics Engineers Inc. 2003. p. 644-648. 1303993. (RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies). doi: 10.1109/RAST.2003.1303993

Channel equalization and noise reduction based on turbo codes

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