Title :
Theoretical Analysis of Bit-Error Probability for Max-Log-MAP Decoding
Author :
Yoshikawa, Hideki
Author_Institution :
Suzuka Nat. Coll. of Technol.
fDate :
5/1/2007 12:00:00 AM
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;
Journal_Title :
Information Theory, IEEE Transactions on
DOI :
10.1109/TIT.2007.894659
