Title :
Fading channel performance analysis for the decoding of convolutional codes
Author :
Belzile, Jean ; Gagnon, Francois ; Haccoun, David
Author_Institution :
Dept. of Electr. Eng., Ecole de Technol. Superieure, Montreal, Que., Canada
Abstract :
In this paper the performance of convolutional decoding over fading channels is explored, The decoding algorithm used are the Viterbi and bidirectional algorithms. By estimating a “decoder weight spectrum” for the decoder, an “equivalent free distance” may be observed. Furthermore, using this “decoder weight spectrum” useful estimations of the error probabilities are obtained and compared to computer simulation results in the case of very slow and very fast fading. The resultant curves are shown to be very tightly related
Keywords :
Rayleigh channels; Rician channels; Viterbi decoding; convolutional codes; decoding; digital communication; error statistics; fading; maximum likelihood estimation; probability; Rayleigh channels; Rician channel; Viterbi algorithm; bidirectional algorithm; convolutional codes; decoder weight spectrum estimation; decoding; digital communication; equivalent free distance; error probabilities; fading channel performance analysis; AWGN; Additive white noise; Autocorrelation; Convolutional codes; Decoding; Error probability; Fading; Performance analysis; Rician channels; Viterbi algorithm;
Conference_Titel :
Electrical and Computer Engineering, 1995. Canadian Conference on
Conference_Location :
Montreal, Que.
Print_ISBN :
0-7803-2766-7
DOI :
10.1109/CCECE.1995.526289