Theoretical Analysis of Bit Error Probability for 4-State Convolutional Code with Max-Log MAP Decoding

Authors:
Hideki Yoshikawa
Affiliations:
-
Venue:
IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences
Year:
2008

Citing 3
Cited 0

Analytic expressions for the bit error probabilities of rate-1/2 memory 2 convolutional encoders

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Theoretical Analysis of Bit-Error Probability for Max-Log-MAP Decoding

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An intuitive justification and a simplified implementation of the MAP decoder for convolutional codes

IEEE Journal on Selected Areas in Communications

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Abstract

In this letter, a theoretical analysis of bit error probability for 4-state convolutional code with Max-Log-maximum a posteriori probability (MAP) decoding is presented. This technique employs an iterative calculation of probability density function of the state metric per one transition, and gives the exact bit error probability for all signal-to-noise power ratio.