EXIT-Optimized Index Assignments for Turbo Decoders with Unreliable LLR Transfer

This letter considers a Turbo decoder for which the log likelihood ratios (LLRs) exchanged between constituent decoders are subject to independent bit errors. The resilience of the decoder against these errors can be improved - without increasing decoding complexity - by optimizing the index assignm...

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Veröffentlicht in:IEEE communications letters Jg. 17; H. 5; S. 992 - 995
Hauptverfasser: Geldmacher, J., Gotze, J.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: New York, NY IEEE 01.05.2013
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:
Applied sciences
Approximation
Approximation methods
Bit error rate
Coding, codes
Decoders
Decoding
error resilience
Errors
Exact sciences and technology
Exchanging
EXIT chart
fault tolerant decoder
index assignment
Indexes
Information, signal and communications theory
Iterative decoding
Likelihood ratio
Mathematical analysis
Optimization
Resilience
Signal and communications theory
soft errors
Systems, networks and services of telecommunications
Telecommunications
Telecommunications and information theory
Transmission and modulation (techniques and equipments)
Turbo codes
unreliable LLRs
Histogram
Bit error rate
EXIT chart
Optimization
Fault tolerance
Algorithm complexity
fault tolerant decoder
Turbo codes
soft errors
Fault tolerant system
unreliable LLRs
Logarithmic function
Transfer characteristic
Likelihood ratio
Turbo code
Decoding
index assignment
Information transmission
Resilience
Error detection
Numerical simulation
error resilience
Error correction
Reliability
Mutual information
ISSN:1089-7798, 1558-2558
Online-Zugang:Volltext
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Beschreibung
Zusammenfassung:This letter considers a Turbo decoder for which the log likelihood ratios (LLRs) exchanged between constituent decoders are subject to independent bit errors. The resilience of the decoder against these errors can be improved - without increasing decoding complexity - by optimizing the index assignment (IA) of the LLRs with respect to the extrinsic information transfer (EXIT) characteristic of the decoder. To enable an effective optimization of the IA we propose an approximation of the mutual information of the extrinsic decoder output that can be computed efficiently without histogram measurements. Numerical results in terms of bit error rates are reported for different scenarios to validate the proposed approach.
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ISSN:1089-7798
1558-2558
DOI:10.1109/LCOMM.2013.040213.130200