Title :
A new technique for computing the weight spectrum of turbo-codes
Author :
Takeshita, Oscar Y. ; Fossorier, Marc P C ; Costello, Daniel J., Jr.
Author_Institution :
Dept. of Electr. Eng., Notre Dame Univ., IN, USA
Abstract :
We obtain an accurate and simple analytical approximation to the bit error probability of maximum-likelihood decoding of parallel concatenated convolutional codes (turbo-codes) by extending a result from the paper by Fossorier et al. (see IEEE Trans. Inform. Theory, vol.45, no.5, p.1646-8, 1999), which investigates the weight enumerating function of terminated convolutional codes, to compute their conditional weight enumerating function.
Keywords :
concatenated codes; convolutional codes; error statistics; maximum likelihood decoding; turbo codes; analytical approximation; bit error probability; maximum-likelihood decoding; parallel concatenated convolutional codes; terminated convolutional codes; turbo-codes; weight enumerating function; weight spectrum; Bit error rate; Block codes; Concatenated codes; Convolutional codes; Error probability; Maximum likelihood decoding; Maximum likelihood estimation; Turbo codes; Upper bound;
Journal_Title :
Communications Letters, IEEE
DOI :
10.1109/4234.781011
