Quantization issues for soft-decision decoding of linear block codes

Author

Chen, Wu-Hsiang Jonas ; Fossorier, Marc P C ; Lin, Shu

Author_Institution

Dept. of Electr. Eng., Washington Univ., Seattle, WA, USA

Volume

47

Issue

6

fYear

1999

fDate

6/1/1999 12:00:00 AM

Firstpage

789

Lastpage

795

Abstract

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

Keywords

AWGN; block codes; decoding; linear codes; quantisation (signal); AWGN; additive white Gaussian noise; channel quantizer; communication system; convolutional codes; cutoff rate; error control systems; linear block codes; optimum quantizer; quantization; quantization levels; soft-decision decoding; AWGN; Additive white noise; Algorithm design and analysis; Block codes; Communication systems; Convolutional codes; Decoding; Error correction; Quantization; Viterbi algorithm;

fLanguage

English

Journal_Title

Communications, IEEE Transactions on

Publisher

ieee

ISSN

0090-6778

Type

jour

DOI

10.1109/26.771327

Filename

771327