Joint interpolation of data and parameter filtration of a multibeam communications channel




Markov process, interpolation, discrete time


The optimal and quasi-optimal algorithms of joint data interpolation and parameter filtration of a multibeam communications channel have been synthesized by using the tools of mixed Markov processes in discrete time. The analysis of the quasi-optimal algorithm and its comparison with an adaptive filter based on the training sequence were carried out by using the computer statistic simulation for a model example.


J. Proakis, Digital Communications (McGraw-Hill, New York, 2000; Radio i Svyaz’, Moscow, 2000).

B. Widrow and S. D. Stearns, Adaptive Signal Processing (Prentice Hall, New Jersey, 1985; Radio i Svyaz’, Moscow, 1989).

O. Shpylka and S. Ya. Zhuk, “Adaptive estimation of communication channel parameters in case of pulse noise presence,” Radioelectron. Commun. Syst., v.52, n.7, p.358-362, 2009.

Yu. G. Sosulin, Theory of Detection and Estimation of Stochastic Signals (Sov. Radio, Moscow, 1973) [in Russian].

S. Ya. Zhuk, Methods of Optimizing Discrete Dynamic Systems with Random Structure (NTUU “KPI”, Kiev, 2008) [in Russian].

N. S. Gritsenko, V. P. Loginov, and K. K. Sevost’yanov, “Adaptive estimation: Part 2,” Zarubezhnaya Radioelektronika, No. 3, 27 (1985).

O Shpylka and S. Ya. Zhuk, “A comparative analysis of algorithms of adaptive parameters of radio communication channels,” in Radiotekhnika. Radioaparatobuduvannya, Visnyk NTUU “KPI” (NTUU “KPI”, 2008), No. 36.





Research Articles