V.M. Artyushenko – Dr.Sc.(Eng.), Professor, Head of Department of Information Technology and Management Systems, Technological University (Korolyov, Moscow region)

E-mail: artuschenko@mail.ru

V.I. Volovach – Dr.Sc.(Eng.), Associate Professor, Head of Department of Information and Electronic Service, Volga Region State University of Service (Togliatti)

E-mail: volovach.vi@mail.ru

Taking into consideration the probability density function of noise influencing the useful signal and mismatch errors allows us to improve the accuracy of information parameters of the signal. In this work the statistical analysis of discriminators in tracking meters under the influence of additive mixture of a useful signal and correlated non-Gaussian noise is carried out. The synthesis of a discriminator, exposed to additive noise described by singly connected and multiply connected Markov processes and noise with independent values, is performed. Structural diagrams of the discriminators are shown, and the mathematical relationships describing the main characteristics of the discriminators, including the generalized discriminator, are given. The efficiency of the discriminator in the conditions of shifted hypotheses is analyzed. It is shown that in the case of non-Gaussian noise its reduction is due to the decorrelation and nonlinear amplitude suppression; in this case, generally, it should be consistent with the spectral power density of the influencing noise.

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