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

Elektronik ve Hab.Müh.Bölümü

Turkish Air Force Academy
Istanbul University
Istanbul Ticaret University

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

1 Atıf (Scopus)

Özet

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].

Orijinal dil	İngilizce
Ana bilgisayar yayını başlığı	RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies
Editörler	S. Kurnaz, Fuat Ince, S. Onbasioglu
Yayınlayan	Institute of Electrical and Electronics Engineers Inc.
Sayfalar	644-648
Sayfa sayısı	5
ISBN (Elektronik)	0780381424, 9780780381421
DOI'lar	https://doi.org/10.1109/RAST.2003.1303993
Yayın durumu	Yayınlandı - 2003
Etkinlik	International Conference on Recent Advances in Space Technologies, RAST 2003 - Istanbul, Türkiye Süre: 20 Kas 2003 → 22 Kas 2003

Yayın serisi

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

???event.eventtypes.event.conference???

???event.eventtypes.event.conference???	International Conference on Recent Advances in Space Technologies, RAST 2003
Ülke/Bölge	Türkiye
Şehir	Istanbul
Periyot	20/11/03 → 22/11/03

Bibliyografik not

Publisher Copyright:
© 2003 IEEE.

Belgeye Erişim

10.1109/RAST.2003.1303993

Diğer Dosyalar ve Linkler

Link to publication in Scopus

Alıntı Yap

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). Makale 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. editör / 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).

@inproceedings{aecbea43b6f0440da386fb11cba71e44,

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.",

pages = "644--648",

editor = "S. Kurnaz and Fuat Ince and S. Onbasioglu",

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

address = "United States",

}

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, Türkiye, 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).

Araştırma çıktısı: Kitap/Rapor/Konferans Bildirisinde Bölüm › Konferans katkısı › Hakem

TY - GEN

T1 - Channel equalization and noise reduction based on turbo codes

AU - Büyükatak, Kenan

AU - Göse, Ersin

AU - Uçan, Osman Nuri

AU - Kent, Sedef

AU - Osman, Onur

PY - 2003

Y1 - 2003

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].

AB - 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].

UR - https://www.scopus.com/pages/publications/84945386359

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DO - 10.1109/RAST.2003.1303993

M3 - Conference contribution

AN - SCOPUS:84945386359

T3 - RAST 2003 - Proceedings of International Conference on Recent Advances in Space Technologies

SP - 644

EP - 648

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

A2 - Kurnaz, S.

A2 - Ince, Fuat

A2 - Onbasioglu, S.

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - International Conference on Recent Advances in Space Technologies, RAST 2003

Y2 - 20 November 2003 through 22 November 2003

ER -

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, editörler, 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

Özet

Yayın serisi

???event.eventtypes.event.conference???

Bibliyografik not

Belgeye Erişim

Diğer Dosyalar ve Linkler

Parmak izi

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