Best Rate 1/2 Convolutional Codes for Turbo Equalization with Severe ISI
(2012) IEEE International Symposium on Information Theory, 2012 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:
https://lup.lub.lu.se/record/3511143
- author
- Anderson, John B LU and Zeinali, Mehdi
- organization
- publishing date
- 2012
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- 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
- conference location
- Cambridge, MA, United States
- conference dates
- 2012-07-01 - 2012-07-06
- 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
- 2016-04-04 12:25:17
- date last changed
- 2022-01-29 23:24:58
@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}}, doi = {{10.1109/ISIT.2012.6283937}}, year = {{2012}}, }