Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise
(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:
https://lup.lub.lu.se/record/3731318
- author
- Ayyar, Arun ; Lentmaier, Michael LU ; Giridhar, K. and Fettweis, Gerhard
- organization
- publishing date
- 2009
- 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}}, }