Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI

John B Anderson; Mehdi Zeinali

doi:10.1109/ISIT.2012.6283937

Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

Sammanfattning

We give a procedure to find good convolutional codes for use with iterative decoding (turbo equalization) of the coded AWGN intersymbol interference (ISI) channel. The method is based on the input-output bit error rate characteristic of the convolutional BCJR module in the iterative decoder, in combination with the code minimum distance. Both are essential to find best codes. Best feedforward and recursive systematic codes are listed for memories 2-4, and some individual good codes at memory 5. Codes are tested over a root raised-cosine faster than Nyquist channel with severe ISI. Turbo BER performance reaches 0.8-1.6 dB from capacity with a 4-16 state codes. Feedforward codes perform better than recursive systematic.

Originalspråk	engelska
Titel på värdpublikation	2012 IEEE International Symposium on Information Theory Proceedings (ISIT)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	2366-2370
ISBN (tryckt)	978-1-4673-2580-6
DOI	https://doi.org/10.1109/ISIT.2012.6283937
Status	Published - 2012
Evenemang	IEEE International Symposium on Information Theory, 2012 - Cambridge, MA, Cambridge, MA, USA Varaktighet: 2012 juli 1 → 2012 juli 6

Konferens

Konferens	IEEE International Symposium on Information Theory, 2012
Förkortad titel	ISIT12
Land/Territorium	USA
Ort	Cambridge, MA
Period	2012/07/01 → 2012/07/06

Ämnesklassifikation (UKÄ)

Elektroteknik och elektronik

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10.1109/ISIT.2012.6283937

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@inproceedings{eec7911c18074473b9d2b7b79b58d3c7,

title = "Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI",

abstract = "We give a procedure to find good convolutional codes for use with iterative decoding (turbo equalization) of the coded AWGN intersymbol interference (ISI) channel. The method is based on the input-output bit error rate characteristic of the convolutional BCJR module in the iterative decoder, in combination with the code minimum distance. Both are essential to find best codes. Best feedforward and recursive systematic codes are listed for memories 2-4, and some individual good codes at memory 5. Codes are tested over a root raised-cosine faster than Nyquist channel with severe ISI. Turbo BER performance reaches 0.8-1.6 dB from capacity with a 4-16 state codes. Feedforward codes perform better than recursive systematic.",

author = "Anderson, {John B} and Mehdi Zeinali",

year = "2012",

doi = "10.1109/ISIT.2012.6283937",

language = "English",

isbn = "978-1-4673-2580-6",

pages = "2366--2370",

booktitle = "2012 IEEE International Symposium on Information Theory Proceedings (ISIT)",

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

address = "United States",

note = "IEEE International Symposium on Information Theory, 2012, ISIT12 ; Conference date: 01-07-2012 Through 06-07-2012",

}

Anderson, JB & Zeinali, M 2012, Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI. i 2012 IEEE International Symposium on Information Theory Proceedings (ISIT). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 2366-2370, IEEE International Symposium on Information Theory, 2012, Cambridge, MA, USA, 2012/07/01. https://doi.org/10.1109/ISIT.2012.6283937

Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI. / Anderson, John B; Zeinali, Mehdi.

2012 IEEE International Symposium on Information Theory Proceedings (ISIT). IEEE - Institute of Electrical and Electronics Engineers Inc., 2012. s. 2366-2370.

Forskningsoutput: Kapitel i bok/rapport/Conference proceeding › Konferenspaper i proceeding › Peer review

TY - GEN

T1 - Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI

AU - Anderson, John B

AU - Zeinali, Mehdi

PY - 2012

Y1 - 2012

N2 - We give a procedure to find good convolutional codes for use with iterative decoding (turbo equalization) of the coded AWGN intersymbol interference (ISI) channel. The method is based on the input-output bit error rate characteristic of the convolutional BCJR module in the iterative decoder, in combination with the code minimum distance. Both are essential to find best codes. Best feedforward and recursive systematic codes are listed for memories 2-4, and some individual good codes at memory 5. Codes are tested over a root raised-cosine faster than Nyquist channel with severe ISI. Turbo BER performance reaches 0.8-1.6 dB from capacity with a 4-16 state codes. Feedforward codes perform better than recursive systematic.

AB - We give a procedure to find good convolutional codes for use with iterative decoding (turbo equalization) of the coded AWGN intersymbol interference (ISI) channel. The method is based on the input-output bit error rate characteristic of the convolutional BCJR module in the iterative decoder, in combination with the code minimum distance. Both are essential to find best codes. Best feedforward and recursive systematic codes are listed for memories 2-4, and some individual good codes at memory 5. Codes are tested over a root raised-cosine faster than Nyquist channel with severe ISI. Turbo BER performance reaches 0.8-1.6 dB from capacity with a 4-16 state codes. Feedforward codes perform better than recursive systematic.

U2 - 10.1109/ISIT.2012.6283937

DO - 10.1109/ISIT.2012.6283937

M3 - Paper in conference proceeding

SN - 978-1-4673-2580-6

SP - 2366

EP - 2370

BT - 2012 IEEE International Symposium on Information Theory Proceedings (ISIT)

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Symposium on Information Theory, 2012

Y2 - 1 July 2012 through 6 July 2012

ER -

Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI

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