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

Anderson, John B LU and Zeinali, Mehdi (2012) IEEE International Symposium on Information Theory, 2012 In 2012 IEEE International Symposium on Information Theory Proceedings (ISIT) p.2366-2370
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.
Please use this url to cite or link to this publication:
author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
in
2012 IEEE International Symposium on Information Theory Proceedings (ISIT)
pages
2366 - 2370
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory, 2012
external identifiers
  • wos:000312544302093
  • scopus:84867522063
ISBN
978-1-4673-2580-6
DOI
10.1109/ISIT.2012.6283937
language
English
LU publication?
yes
id
eec7911c-1807-4473-b9d2-b7b79b58d3c7 (old id 3511143)
date added to LUP
2013-02-20 15:55:24
date last changed
2017-06-11 04:59:36
@inproceedings{eec7911c-1807-4473-b9d2-b7b79b58d3c7,
  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 Zeinali, Mehdi},
  booktitle    = {2012 IEEE International Symposium on Information Theory Proceedings (ISIT)},
  isbn         = {978-1-4673-2580-6},
  language     = {eng},
  pages        = {2366--2370},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI},
  url          = {http://dx.doi.org/10.1109/ISIT.2012.6283937},
  year         = {2012},
}