DocumentCode
3301704
Title
Theoretical analysis of bit error probability for 4-state recursive systematic convolutional code with Max-Log MAP decoding
Author
Yoshikawa, Hideki ; Kawadai, Yoshitake
Author_Institution
Fac. of Eng., Tohoku Gakuin Univ., Tagajo, Japan
fYear
2010
fDate
17-20 Oct. 2010
Firstpage
762
Lastpage
766
Abstract
In this paper, a theoretical analysis of bit error probability for recursive systematic 4-state convolutional code with Max-Log-maximum a posteriori probability (MAP) decoding is presented. The results show that recursive systematic convolutional codes give better performance than non-systematic convolutional codes for very noisy channel.
Keywords
convolutional codes; error statistics; maximum likelihood decoding; maximum likelihood estimation; probability; recursive estimation; 4-state recursive systematic convolutional code; bit error probability; max-log MAP decoding; max-log-maximum a posteriori probability decoding; Convolutional codes; Error probability; Maximum likelihood decoding; Measurement; Systematics; Viterbi algorithm;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory and its Applications (ISITA), 2010 International Symposium on
Conference_Location
Taichung
Print_ISBN
978-1-4244-6016-8
Electronic_ISBN
978-1-4244-6017-5
Type
conf
DOI
10.1109/ISITA.2010.5649631
Filename
5649631
Link To Document