DocumentCode :
2354121
Title :
A fast maximum-likelihood decoder for convolutional codes
Author :
Feldman, Jon ; Abou-Faycal, Ibrahim ; Frigo, Matteo
Author_Institution :
Lab. for Comput. Sci., MIT, Cambridge, MA, USA
Volume :
1
fYear :
2002
fDate :
2002
Firstpage :
371
Abstract :
The lazy Viterbi decoder is a maximum-likelihood decoder for block and stream convolutional codes. For many codes of practical interest, under reasonable noise conditions, the lazy decoder is much faster than the original Viterbi decoder. For a code of constraint length 6, the lazy algorithm is about 50% faster than an optimized implementation of the Viterbi decoder whenever SNR>6 dB. Moreover, while the running time of the Viterbi decoder grows exponentially with the constraint length, under reasonable noise conditions, the running time of the lazy algorithm is essentially independent of the constraint length. This paper introduces the lazy Viterbi decoder and shows how to make it efficient in practice.
Keywords :
Viterbi decoding; convolutional codes; maximum likelihood decoding; random noise; Viterbi decoder; code constraint length; convolutional codes; fast decoder; lazy decoder; maximum-likelihood decoder; Code standards; Constraint optimization; Convolutional codes; Maximum likelihood decoding; Multiaccess communication; Signal to noise ratio; Software algorithms; Software performance; Software standards; Viterbi algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Vehicular Technology Conference, 2002. Proceedings. VTC 2002-Fall. 2002 IEEE 56th
ISSN :
1090-3038
Print_ISBN :
0-7803-7467-3
Type :
conf
DOI :
10.1109/VETECF.2002.1040367
Filename :
1040367
Link To Document :
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