МЕТОД ОПТИМАЛЬНОГО СИНТЕЗУ ІНФОРМАЦІЙНО-ВИМІРЮВАЛЬНИХ СИСТЕМ

The current study considers the existent problem of optimal synthesis (build-up) of the information measuring systems (IMS). The ways for solving this problem are shown by using the curves of exchange by Gutkin, L.S. These curves make it easier to understand what IMSs have more optimal parameters, how to co-ordinate the quality indices of measuring of parameters, how to meet the demand of a large expected uncertainty not diminishing the exactness of measuring, how to explain contradiction of some known theories, how to harmonise a priori range with a physical range, how to use priori data obtained, what is the impact of a changing signal level on exactness of measuring, how the accuracy of settings makes impact on exactness of measuring, how to shorten signal search time, in what way  the nature of process impacts the automatic tracking etc. The offered method of ІMS optimal synthesis is valid for IMS of any type of signals and parameters of measuring. Analytic expressions were used for calculations.  Exactness of any signal parameter measuring does not depend on an amplification of transceiver of IMS factor. However, it is chosen not arbitrarily, and such, that the level of initial signal to be known could correspond the the scale of eventual measuring device (measuring device of IMS). Exactness of measuring signal l parameter as a value that reversed to error dispersion is straight proportional to the relation signal/noise q. Dispersion of error of estimation of signal is proportional to the square of aperture of discriminator. Therefore, for the achievement of high exactness of measuring of signal it is needed to seek the diminishing aperture of discriminator. The least impact of amplitude’s change on the error of the discriminator measuring appears at minor deviation of parameter from the central tuning of discriminator. Advantage of tracking discriminators comparing to non-tracking ones consists in less impact of change of signal amplitude. Advantage of non-tracking discriminators comparing to tracking ones consists in absence of the dynamic error of measuring of signal parameter that related to re-tuning of discriminator and dynamics of signal parameters changes in time.