Generic Direct Approach for Decoding Turbo Codes Using Probability Density Based Reliability Model

The probability of the received bit values has been directly used in the performance enhanced reliability based direct decoding algorithm for turbo codes proposed recently and has achieved a significant coding gain improvement. This is in contrast to the maximum a posteriori (MAP)—type decoders and...

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Published inJournal of communications technology & electronics Vol. 66; no. 2; pp. 175 - 183
Main Authors Salija, P., Yamuna, B., Padmanabhan, T. R., Mishra, D.
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 01.02.2021
Springer
Springer Nature B.V
Subjects
Algorithms
Coders
Codes
Communications Engineering
Decoders
Decoding
Distribution (Probability theory)
Engineering
Iterative methods
Likelihood ratio
Networks
Reliability
Reliability analysis
Specific gravity
Theory and Methods of Signal Processing
Turbo codes
turbo codes
non-Gaussian noise
short block length
reliability
Online AccessGet full text
ISSN1064-2269
1555-6557
DOI10.1134/S1064226921020133

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Abstract The probability of the received bit values has been directly used in the performance enhanced reliability based direct decoding algorithm for turbo codes proposed recently and has achieved a significant coding gain improvement. This is in contrast to the maximum a posteriori (MAP)—type decoders and their variants in vogue which use log-likelihood ratio (LLR) in place of reliability and go through an iterative process. In this paper reliability has been identified in terms of probability densities of the bit values and the same used with the direct decoding algorithm. Extensive simulations with commonly used encoders show a clear performance improvement especially for short block lengths. Neither does the approach constrain noise distribution in any way as brought out by considering different distributions.
AbstractList The probability of the received bit values has been directly used in the performance enhanced reliability based direct decoding algorithm for turbo codes proposed recently and has achieved a significant coding gain improvement. This is in contrast to the maximum a posteriori (MAP)—type decoders and their variants in vogue which use log-likelihood ratio (LLR) in place of reliability and go through an iterative process. In this paper reliability has been identified in terms of probability densities of the bit values and the same used with the direct decoding algorithm. Extensive simulations with commonly used encoders show a clear performance improvement especially for short block lengths. Neither does the approach constrain noise distribution in any way as brought out by considering different distributions.
Audience Academic
Author Yamuna, B.
Salija, P.
Padmanabhan, T. R.
Mishra, D.
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10.1109/ICC.1993.397441
10.1109/VTCSpring.2015.7145846
10.1109/ACCESS.2018.2842231
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Copyright Pleiades Publishing, Inc. 2021. ISSN 1064-2269, Journal of Communications Technology and Electronics, 2021, Vol. 66, No. 2, pp. 175–183. © Pleiades Publishing, Inc., 2021.
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Keywords turbo codes
non-Gaussian noise
short block length
reliability
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SubjectTerms Algorithms
Coders
Codes
Communications Engineering
Decoders
Decoding
Distribution (Probability theory)
Engineering
Iterative methods
Likelihood ratio
Networks
Reliability
Reliability analysis
Specific gravity
Theory and Methods of Signal Processing
Turbo codes
Title Generic Direct Approach for Decoding Turbo Codes Using Probability Density Based Reliability Model
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