DocumentCode
818589
Title
Theoretical Analysis of Bit-Error Probability for Max-Log-MAP Decoding
Author
Yoshikawa, Hideki
Author_Institution
Suzuka Nat. Coll. of Technol.
Volume
53
Issue
5
fYear
2007
fDate
5/1/2007 12:00:00 AM
Firstpage
1935
Lastpage
1939
Abstract
In this correspondence, an analytical technique for bit-error probability of 2-state convolutional code with Max-Log-maximum a posteriori probability (MAP) decoding is presented. This technique employs an iterative calculation of the probability density function (pdf) of the state metric per one transition, and gives the exact the bit-error probability for the overall signal-to-noise ratio (SNR)
Keywords
convolutional codes; error statistics; iterative methods; maximum likelihood decoding; bit-error probability; convolutional code; iterative calculation; max-log-MAP decoding; maximum aposteriori probability; probability density function; theoretical analysis; AWGN; Algorithm design and analysis; Convolutional codes; Iterative algorithms; Iterative decoding; Maximum likelihood decoding; Probability density function; Signal to noise ratio; Turbo codes; Viterbi algorithm; Bit-error probability; Max-Log-MAP decoding; exact analysis; maximum a posteriori probability (MAP) decoding;
fLanguage
English
Journal_Title
Information Theory, IEEE Transactions on
Publisher
ieee
ISSN
0018-9448
Type
jour
DOI
10.1109/TIT.2007.894659
Filename
4167756
Link To Document