Title :
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
fDate :
6/1/1999 12:00:00 AM
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;
Journal_Title :
Communications, IEEE Transactions on
