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Quantization issues for soft-decision decoding of linear block codes

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3 Author(s)
Wu-Hsiang Jonas Chen ; Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA ; Fossorier, M.P.C. ; Shu Lin

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

Published in:

Communications, IEEE Transactions on  (Volume:47 ,  Issue: 6 )

Date of Publication:

Jun 1999

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