Title :
Evaluation of SOVA algorithm in turbo code
Author :
Kouraichi, M. ; Belghith O, B. ; Kachouri, A. ; Kamoun, L.
Author_Institution :
Lab. of Electron. & Inf. Technol., ENIS SFAX, France
Abstract :
The convolutional encoding with the Viterbi decoding algorithm represents one of the most popular techniques for direct error correction in the communication systems (forward error correction: FEC). This decoding technique has been proposed by A. Viterbi, it is based on maximum likelihood theory. The modification of this algorithm by introducing the soft value on the Viterbi algorithm makes it SOVA algorithm (soft output Viterbi algorithm), this modification gives the algorithm the possibility of quantifying the values of the received bits, so it will give more precise estimation of the decoded bit. The performance of the decoder will be from far more reliable.
Keywords :
Viterbi decoding; convolutional codes; forward error correction; maximum likelihood decoding; turbo codes; SOVA algorithm; Viterbi decoding algorithm; communication systems; convolutional encoding; direct error correction; forward error correction; maximum likelihood theory; soft output Viterbi algorithm; turbo code; AWGN; Convolutional codes; Demodulation; Error correction codes; Forward error correction; Information technology; Laboratories; Maximum likelihood decoding; Turbo codes; Viterbi algorithm;
Conference_Titel :
Control, Communications and Signal Processing, 2004. First International Symposium on
Print_ISBN :
0-7803-8379-6
DOI :
10.1109/ISCCSP.2004.1296491