Title :
Tighter bounds on the error probability of fixed convolutional codes
Author :
Engdahl, Karin ; Zigangirov, Kamil Sh
Author_Institution :
Dept. of Inf. Technol., Lund Univ., Sweden
fDate :
5/1/2001 12:00:00 AM
Abstract :
We introduce new upper bounds for the bit and burst error probabilities, when a convolutional code is used for transmission over a binary input, additive white Gaussian noise (AWGN) channel, and the decoder performs maximum-likelihood decoding. The bounds are tighter than existing bounds, and nontrivial also for signal-to-noise ratios below the computational cutoff rate
Keywords :
AWGN channels; convolutional codes; error statistics; maximum likelihood decoding; AWGN channel; SNR; additive white Gaussian noise channel; binary input; bit error probability; burst error probability; computational cutoff rate; decoder; error probability; fixed convolutional codes; maximum-likelihood decoding; signal-to-noise ratio; upper bounds; AWGN; Additive white noise; Convolutional codes; Error correction; Error probability; Estimation error; Maximum likelihood decoding; Maximum likelihood estimation; Signal to noise ratio; Upper bound;
Journal_Title :
Information Theory, IEEE Transactions on
