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Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise

Ayyar, Arun ; Lentmaier, Michael LU ; Giridhar, K. and Fettweis, Gerhard (2009) IEEE International Symposium on Information Theory (ISIT), 2009 p.904-908
Abstract
We consider the decoding of LDPC codes in presence of non-Gaussian noise, especially a set of ¿-mixture models. For each of these models, the optimal LLRs are presented. We study the performance degradation due to the use of incorrect LLR in presence of a given noise model. Without modifying the existing LDPC decoder, we propose robust initial LLR which require minimum knowledge about the underlying noise model and are computationally less complex. Since BER simulations are computationally heavy, we use density evolution to compare the thresholds of different LLRs.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
LDPC codes, robust LLR, non-Gaussian noise, impulsive noise
host publication
2009 IEEE International Symposium on Information Theory
pages
904 - 908
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory (ISIT), 2009
conference location
Seoul, Korea, Democratic People's Republic of
conference dates
2009-06-28 - 2009-07-03
external identifiers
  • scopus:70449487432
ISBN
978-1-4244-4312-3
DOI
10.1109/ISIT.2009.5205626
language
English
LU publication?
no
id
fa808e04-1e10-40ed-a24e-30bc768f07ec (old id 3731318)
date added to LUP
2016-04-04 11:32:35
date last changed
2022-04-08 07:24:58
@inproceedings{fa808e04-1e10-40ed-a24e-30bc768f07ec,
  abstract     = {{We consider the decoding of LDPC codes in presence of non-Gaussian noise, especially a set of ¿-mixture models. For each of these models, the optimal LLRs are presented. We study the performance degradation due to the use of incorrect LLR in presence of a given noise model. Without modifying the existing LDPC decoder, we propose robust initial LLR which require minimum knowledge about the underlying noise model and are computationally less complex. Since BER simulations are computationally heavy, we use density evolution to compare the thresholds of different LLRs.}},
  author       = {{Ayyar, Arun and Lentmaier, Michael and Giridhar, K. and Fettweis, Gerhard}},
  booktitle    = {{2009 IEEE International Symposium on Information Theory}},
  isbn         = {{978-1-4244-4312-3}},
  keywords     = {{LDPC codes; robust LLR; non-Gaussian noise; impulsive noise}},
  language     = {{eng}},
  pages        = {{904--908}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise}},
  url          = {{https://lup.lub.lu.se/search/files/5798070/3731321.pdf}},
  doi          = {{10.1109/ISIT.2009.5205626}},
  year         = {{2009}},
}