Title :
An iterative M-algorithm based decoder for convolutional codes
Author :
Zadeh, Seyed Ali Gorji ; Soleymani, M. Reza
Author_Institution :
Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que.
Abstract :
In this paper, we propose an iterative M-algorithm for decoding of convolutionally coded frames. Different iteration of decoding is performed only in the case of detecting error in the decoded frame. A CRC error detection code is employed to detect the erroneous frames. Every time that an erroneous frame is detected; another iteration of the M-algorithm decoding is performed with a higher value of M. It is shown that our proposed algorithm offers the promised low frame error performance of the very long constraint length codes with a reasonable complexity
Keywords :
convolutional codes; error detection codes; iterative decoding; M-algorithm decoding; convolutional codes; decoder; error detection code; iterative M-algorithm; very long constraint length codes; Computer errors; Convolutional codes; Cyclic redundancy check; Degradation; Error correction; Error probability; Iterative algorithms; Iterative decoding; Numerical simulation; Viterbi algorithm;
Conference_Titel :
Electrical and Computer Engineering, 2005. Canadian Conference on
Conference_Location :
Saskatoon, Sask.
Print_ISBN :
0-7803-8885-2
DOI :
10.1109/CCECE.2005.1557293
