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

Authors

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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A. A. Shpylka and S. Ya. Zhuk, “Joint interpolation of data and parameter filtration of a multibeam communications channel,” Radioelectron. Commun. Syst., v.53, n.1, p.20-24, 2010.

N. Seshadri, “Joint data and channel estimation using blind trellis search techniques,” IEEE Trans. Commun. 42, Nos. 2–4, 1000 (1994).

T. K. Moon, Error Correction Coding: Mathematical Methods and Algorithms (John Wiley & Sons Inc., New York, 2005).

A. A. Shpylka and S. Ya. Zhuk, “Decoding of convolutional codes on a sliding window during signal propagation in a multipath communications channel,” Radioelectron. Commun. Syst., v.53, n.9, p.497-501, 2010.

S. Ya. Zhuk, Optimization Methods of Discrete Dynamic Systems with Random Structure (NTUU KPI, Kyiv, 2008) [in Russian].

Published

2011-03-01

Issue

Section

Research Articles