Title :
Theoretical analysis of bit error probability for Log-MAP decoding
Author :
Yoshikawa, Hideki
Author_Institution :
Fac. of Eng., Tohoku Gakuin Univ., Tagajo, Japan
Abstract :
In this paper, an analytical result of bit error probability of 2-state convolutional code with log-maximum a posteriori probability (Log-MAP) decoding algorithm with hard decision are presented. The result shows that the error performance of Log-MAP decoding is slightly better than both Max-Log-MAP decoding and Viterbi decoding. Furthermore, the analytical result of bit error probability of 4-level soft decision Log-MAP decoding is shown.
Keywords :
convolutional codes; error statistics; maximum likelihood decoding; probability; 2-state convolutional code; 4-level soft decision Log-MAP decoding; bit error probability; log-maximum a posteriori probability decoding; Convolutional codes; Error probability; Iterative decoding; Maximum likelihood decoding; Measurement; Viterbi algorithm;
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
DOI :
10.1109/ISITA.2010.5649632
