Title :
Quantization loss for convolutional decoding in Rayleigh-fading channels
Author :
Butler, M.R.G. ; Nix, A.R.
Abstract :
This article presents a theoretical analysis (based on tight upper bounds on the error probability) of quantization loss with integer metrics used for convolutional decoding in the Rayleigh-fading channel. Optimum configurations with respect to the generalized cutoff rate criterion are established for 2-bit, 3-bit and 4-bit quantizers, and corresponding losses with both de facto industry-standard 1/2-rate and associated punctured 3/4-rate codes are evaluated. Assuming optimized thresholds, 4-bit metrics are shown to incur only a small quantization loss. However, results also indicate that the loss is sensitive to suboptimum threshold spacing.
Keywords :
Rayleigh channels; convolutional codes; decoding; error statistics; quantisation (signal); Rayleigh-fading channels; convolutional codes; convolutional decoding; de facto industry-standard; error probability; generalized cutoff rate criterion; integer metrics; optimized thresholds; punctured codes; quantization loss; quantizers; suboptimum threshold spacing; tight upper bounds; Convolution; Convolutional codes; Error probability; Maximum likelihood decoding; Maximum likelihood estimation; Optical signal processing; Quantization; Rayleigh channels; Upper bound; Viterbi algorithm;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/LCOMM.2003.817326