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

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Author

Summary, in English

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.

Publishing year

2009

Language

English

Pages

904-908

Publication/Series

2009 IEEE International Symposium on Information Theory

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Keywords

  • LDPC codes
  • robust LLR
  • non-Gaussian noise
  • impulsive noise

Conference name

IEEE International Symposium on Information Theory (ISIT), 2009

Conference date

2009-06-28 - 2009-07-03

Conference place

Seoul, Korea, Democratic People's Republic of

Status

Published

Research group

  • Telecommunication Theory

ISBN/ISSN/Other

  • ISBN: 978-1-4244-4312-3