Quantization issues for soft-decision decoding of linear block codes

In general, a channel quantizer for a communication system subject to additive white Gaussian noise (AWGN) is designed based on the cutoff rate. This criterion is good if the scheme considered performs close to the theoretical performance corresponding to the cutoff rate, as for error control system...

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Bibliographic Details
Published inIEEE transactions on communications Vol. 47; no. 6; pp. 789 - 795
Main Authors Chen, W.-H.J., Fossorier, M.P.C., Shu Lin
Format Journal Article
LanguageEnglish
Published IEEE 01.06.1999
Subjects
Additive white noise
Algorithm design and analysis
AWGN
Block codes
Channels
Communication systems
Convolutional codes
Counters
Decoding
Error correction
Gaussian
Optimization
Quantization
Viterbi algorithm
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ISSN0090-6778
DOI10.1109/26.771327

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Summary:In general, a channel quantizer for a communication system subject to additive white Gaussian noise (AWGN) is designed based on the cutoff rate. This criterion is good if the scheme considered performs close to the theoretical performance corresponding to the cutoff rate, as for error control systems employing convolutional codes. However, it is no longer true for systems using low complexity suboptimum decoding algorithms for block codes. We illustrate this point and present three examples for which we compare the optimum quantizer and the quantizer based on the cutoff rate for Q=4 quantization levels.
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ISSN:0090-6778
DOI:10.1109/26.771327