Synthesis of digital detector-meters for mixed Markovian processes
DOI:
https://doi.org/10.3103/S073527271989110063Abstract
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
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Research Articles