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

Arun Ayyar; Michael Lentmaier; K. Giridhar; Gerhard Fettweis

doi:10.1109/ISIT.2009.5205626

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

Arun Ayyar, Michael Lentmaier, K. Giridhar, Gerhard Fettweis

Dresden University of Technology

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

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Abstract

We consider the decoding of LDPC codes in presence of non-Gaussian noise, especially a set of Â¿-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.

Original language	English
Title of host publication	2009 IEEE International Symposium on Information Theory
Publisher	IEEE - Institute of Electrical and Electronics Engineers Inc.
Pages	904-908
ISBN (Print)	978-1-4244-4312-3
DOIs	https://doi.org/10.1109/ISIT.2009.5205626
Publication status	Published - 2009
Externally published	Yes
Event	IEEE International Symposium on Information Theory (ISIT), 2009 - Seoul, Korea, Seoul, Korea, Democratic People's Republic of Duration: 2009 Jun 28 → 2009 Jul 3

Conference

Conference	IEEE International Symposium on Information Theory (ISIT), 2009
Country/Territory	Korea, Democratic People's Republic of
City	Seoul
Period	2009/06/28 → 2009/07/03

Subject classification (UKÄ)

Electrical Engineering, Electronic Engineering, Information Engineering

Free keywords

LDPC codes
robust LLR
non-Gaussian noise
impulsive noise

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10.1109/ISIT.2009.5205626

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Cite this

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title = "Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise",

abstract = "We consider the decoding of LDPC codes in presence of non-Gaussian noise, especially a set of {\^A}¿-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.",

keywords = "LDPC codes, robust LLR, non-Gaussian noise, impulsive noise",

author = "Arun Ayyar and Michael Lentmaier and K. Giridhar and Gerhard Fettweis",

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doi = "10.1109/ISIT.2009.5205626",

language = "English",

isbn = "978-1-4244-4312-3",

pages = "904--908",

booktitle = "2009 IEEE International Symposium on Information Theory",

publisher = "IEEE - Institute of Electrical and Electronics Engineers Inc.",

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note = "IEEE International Symposium on Information Theory (ISIT), 2009 ; Conference date: 28-06-2009 Through 03-07-2009",

}

Ayyar, A, Lentmaier, M, Giridhar, K & Fettweis, G 2009, Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise. in 2009 IEEE International Symposium on Information Theory. IEEE - Institute of Electrical and Electronics Engineers Inc., pp. 904-908, IEEE International Symposium on Information Theory (ISIT), 2009, Seoul, Korea, Democratic People's Republic of, 2009/06/28. https://doi.org/10.1109/ISIT.2009.5205626

Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise. / Ayyar, Arun; Lentmaier, Michael; Giridhar, K. et al.
2009 IEEE International Symposium on Information Theory. IEEE - Institute of Electrical and Electronics Engineers Inc., 2009. p. 904-908.

Research output: Chapter in Book/Report/Conference proceeding › Paper in conference proceeding › peer-review

TY - GEN

T1 - Robust Initial LLRs for Iterative Decoders in Presence of Non-Gaussian Noise

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AU - Lentmaier, Michael

AU - Giridhar, K.

AU - Fettweis, Gerhard

PY - 2009

Y1 - 2009

N2 - We consider the decoding of LDPC codes in presence of non-Gaussian noise, especially a set of Â¿-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.

AB - We consider the decoding of LDPC codes in presence of non-Gaussian noise, especially a set of Â¿-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.

KW - LDPC codes

KW - robust LLR

KW - non-Gaussian noise

KW - impulsive noise

UR - https://www.scopus.com/pages/publications/70449487432

U2 - 10.1109/ISIT.2009.5205626

DO - 10.1109/ISIT.2009.5205626

M3 - Paper in conference proceeding

SN - 978-1-4244-4312-3

SP - 904

EP - 908

BT - 2009 IEEE International Symposium on Information Theory

PB - IEEE - Institute of Electrical and Electronics Engineers Inc.

T2 - IEEE International Symposium on Information Theory (ISIT), 2009

Y2 - 28 June 2009 through 3 July 2009

ER -

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

Abstract

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Subject classification (UKÄ)

Free keywords

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