Joint decoding of convolution codes and estimation of multipath communication channel’s parameters on a sliding interval

Oleksandr O. Shpylka; Serhii Ya. Zhuk

doi:10.3103/S0735272711030022

Authors

Oleksandr O. Shpylka Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine https://orcid.org/0000-0003-1391-4031
Serhii Ya. Zhuk Igor Sikorsky Kyiv Polytechnic Institute, Kyiv, Ukraine https://orcid.org/0000-0002-0046-8450

DOI:

https://doi.org/10.3103/S0735272711030022

Keywords:

convolution code, multipath channel, quasi-optimal algorithm, Markov process

Abstract

Optimal and quasi-optimal non-linear recurrent algorithms of joint decoding of convolution code and estimation of unknown multipath communication channel’s parameters on a sliding interval are synthesized on the basis of mathematics technique of mixed Markov processes in discrete time. Analysis of the obtained quasi-optimal algorithm is performed using statistical modeling on PC.

References

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