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Asymptotically Good LDPC Convolutional Codes with AWGN Channel Thresholds Close to the Shannon Limit

Lentmaier, Michael LU ; Mitchell, David G.M.; Fettweis, Gerhard and Costello Jr., Daniel J. (2010) International Symposium on Turbo Codes & Related Topics (ISTC), 2010 In [Host publication title missing] p.324-328
Abstract
In this paper, we perform an iterative decoding threshold analysis of LDPC block code ensembles formed by terminating (J,K)-regular and irregular AR4JA-based LDPC convolutional codes. These ensembles have minimum distance growing linearly with block length and their thresholds approach the Shannon limit as the termination factor tends to infinity. Results are presented for various ensembles and termination factors, which allow a code designer to trade-off between distance growth rate and threshold.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
spatial coupling, LDPC codes, LDPC convolutional codes
in
[Host publication title missing]
pages
324 - 328
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
International Symposium on Turbo Codes & Related Topics (ISTC), 2010
external identifiers
  • scopus:78649252804
ISBN
978-1-4244-6744-0
DOI
10.1109/ISTC.2010.5613891
language
English
LU publication?
no
id
b22942dd-a538-403c-82d7-4ff98fcd63e8 (old id 3731191)
date added to LUP
2013-04-26 13:46:18
date last changed
2017-08-13 04:46:47
@inproceedings{b22942dd-a538-403c-82d7-4ff98fcd63e8,
  abstract     = {In this paper, we perform an iterative decoding threshold analysis of LDPC block code ensembles formed by terminating (J,K)-regular and irregular AR4JA-based LDPC convolutional codes. These ensembles have minimum distance growing linearly with block length and their thresholds approach the Shannon limit as the termination factor tends to infinity. Results are presented for various ensembles and termination factors, which allow a code designer to trade-off between distance growth rate and threshold.},
  author       = {Lentmaier, Michael and Mitchell, David G.M. and Fettweis, Gerhard and Costello Jr., Daniel J.},
  booktitle    = {[Host publication title missing]},
  isbn         = {978-1-4244-6744-0},
  keyword      = {spatial coupling,LDPC codes,LDPC convolutional codes},
  language     = {eng},
  pages        = {324--328},
  publisher    = {IEEE--Institute of Electrical and Electronics Engineers Inc.},
  title        = {Asymptotically Good LDPC Convolutional Codes with AWGN Channel Thresholds Close to the Shannon Limit},
  url          = {http://dx.doi.org/10.1109/ISTC.2010.5613891},
  year         = {2010},
}