Synthesis of digital detector-meters for mixed Markovian processes

Authors

DOI:

https://doi.org/10.3103/S073527271989110063

Abstract

Optimal and quasi-optimal detection-measurement algorithms for mixed Markovian processes in discrete time have been synthesized and analyzed. As an example, the problem of detecting a signal having a bi-Gaussian probability density and an exponential correlation function in a background of correlated interference having analogous statistical characteristics of the white and Gaussian noise has been considered. The method of statistical simulation has been used to compare various detection algorithms.

References

GRITSENKO, N.S.; LOGINOV, V.P.; SEVAST’YANOV, K.K. Adaptive estimation: part 2. Zarubezhnaya Radioelektronika, n.3, p.27-50, 1985.

ZHUK, S.Y. Joint filtering of mixed Markov processes in discrete time. Radioelectron. Commun. Syst., v.31, n.1, p.29-35, 1988.

SOSULIN, Y.G. Theory of Detection and Estimation of Stochastic Signals [in Russian]. Moscow: Sov. Radio, 1978.

TIKHONOV, V.I.; KUL’MAN, N.K. Nonlinear Filtering and Quasi-Coherent Signal Reception [in Russian]. Moscow: Sov. Radio, 1975.

SAGE, ANDREW E.; MELSA, JAMES L. Estimation Theory with Applications to Communications and Control. McGraw-Hill, 1971.

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Published

1989-11-06

Issue

Vol. 32 No. 11 (1989)

Section

Research Articles