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

Optimization of the amplitude transfer characteristics (ATC) of the nonlinear blocks (NLB) of the discriminators in tracking meters allows us to implement adaptive NLB (ANLB), working efficiently both in the presence and in the absence of noise. In this work the synthesis of the algorithms for adaptive nonlinear signal processing in tracking meters implemented using the NLB with feedback at the finite signal/noise ratio (SNR) at the input is carried out. The ATC of the NLB is optimized for the case when the NLB is exposed to broadband noise and narrow-band noise and when the SNR at the input of the NLB is of arbitrary value. It is shown that the minimum root mean square error (RMSE) ATC of the NLB depends on the noise probability density function and on a type of a signal. It is shown that for small SNR at the input of the NLB the minimum-RMSE ATC and maximum noise reduction ratio ATX of the NLB are the same.

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