Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization

John B Anderson; Mehdi Zeinali

doi:10.1109/ISIT.2014.6875181

Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization

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

Sammanfattning

We find good rate 2/3 and 3/4 convolutional codes for use with iterative decoding (turbo equalization) of coded intersymbol interference with AWGN. The method is based on the input-output bit error rate characteristic of the convolutional BCJR decoder module. An analysis leads to an equivalent minimum distance under the required intrinsic subtraction, which depends on free distance and an input-output LLR correlation parameter.

Originalspråk	engelska
Titel på värdpublikation	2014 IEEE International Symposium on Information Theory (ISIT)
Förlag	IEEE - Institute of Electrical and Electronics Engineers Inc.
Sidor	1987-1991
DOI	https://doi.org/10.1109/ISIT.2014.6875181
Status	Published - 2014
Evenemang	IEEE International Symposium on Information Theory (ISIT), 2014 - Honolulu, Hawaii, U.S.A., Honolulu, HI, USA Varaktighet: 2014 juni 29 → 2014 juli 4

Konferens

Konferens	IEEE International Symposium on Information Theory (ISIT), 2014
Land/Territorium	USA
Ort	Honolulu, HI
Period	2014/06/29 → 2014/07/04

Ämnesklassifikation (UKÄ)

Elektroteknik och elektronik

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10.1109/ISIT.2014.6875181

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title = "Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization",

abstract = "We find good rate 2/3 and 3/4 convolutional codes for use with iterative decoding (turbo equalization) of coded intersymbol interference with AWGN. The method is based on the input-output bit error rate characteristic of the convolutional BCJR decoder module. An analysis leads to an equivalent minimum distance under the required intrinsic subtraction, which depends on free distance and an input-output LLR correlation parameter.",

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

year = "2014",

doi = "10.1109/ISIT.2014.6875181",

language = "English",

pages = "1987--1991",

booktitle = "2014 IEEE International Symposium on Information Theory (ISIT)",

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

address = "United States",

note = "IEEE International Symposium on Information Theory (ISIT), 2014 ; Conference date: 29-06-2014 Through 04-07-2014",

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Anderson, JB & Zeinali, M 2014, Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization. i 2014 IEEE International Symposium on Information Theory (ISIT). IEEE - Institute of Electrical and Electronics Engineers Inc., s. 1987-1991, IEEE International Symposium on Information Theory (ISIT), 2014, Honolulu, HI, USA, 2014/06/29. https://doi.org/10.1109/ISIT.2014.6875181

Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization. / Anderson, John B; Zeinali, Mehdi.

2014 IEEE International Symposium on Information Theory (ISIT). IEEE - Institute of Electrical and Electronics Engineers Inc., 2014. s. 1987-1991.

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

TY - GEN

T1 - Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization

AU - Anderson, John B

AU - Zeinali, Mehdi

PY - 2014

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N2 - We find good rate 2/3 and 3/4 convolutional codes for use with iterative decoding (turbo equalization) of coded intersymbol interference with AWGN. The method is based on the input-output bit error rate characteristic of the convolutional BCJR decoder module. An analysis leads to an equivalent minimum distance under the required intrinsic subtraction, which depends on free distance and an input-output LLR correlation parameter.

AB - We find good rate 2/3 and 3/4 convolutional codes for use with iterative decoding (turbo equalization) of coded intersymbol interference with AWGN. The method is based on the input-output bit error rate characteristic of the convolutional BCJR decoder module. An analysis leads to an equivalent minimum distance under the required intrinsic subtraction, which depends on free distance and an input-output LLR correlation parameter.

U2 - 10.1109/ISIT.2014.6875181

DO - 10.1109/ISIT.2014.6875181

M3 - Paper in conference proceeding

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BT - 2014 IEEE International Symposium on Information Theory (ISIT)

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

T2 - IEEE International Symposium on Information Theory (ISIT), 2014

Y2 - 29 June 2014 through 4 July 2014

ER -

Analysis of Best High Rate Convolutional Codes for Faster than Nyquist Turbo Equalization

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