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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 In [Host publication title missing] 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.
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
LDPC codes, robust LLR, non-Gaussian noise, impulsive noise
in
[Host publication title missing]
pages
904 - 908
publisher
IEEE--Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Symposium on Information Theory (ISIT), 2009
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
2013-04-26 13:48:26
date last changed
2016-10-13 04:46:17
@misc{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},
  isbn         = {978-1-4244-4312-3},
  keyword      = {LDPC codes,robust LLR,non-Gaussian noise,impulsive noise},
  language     = {eng},
  pages        = {904--908},
  publisher    = {ARRAY(0xb91f030)},
  series       = {[Host publication title missing]},
  title        = {Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise},
  url          = {http://dx.doi.org/10.1109/ISIT.2009.5205626},
  year         = {2009},
}