Theoretical analysis of bit-error probability for Max-Log-MAP decoding
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).
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