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Estimation of the measurement accuracy of the vector information parameter of signal along with the additive non-Gaussian noise under discrete and continuous processing

Keywords:

V.M. Artyushenko – Dr.Sc. (Eng), Professor, Head of Department «Information technology and management systems», «Technological University» GBOU VO MO E-mail: artuschenko@mail.ru V.I. Volovach – Ph.D. (Eng.), Associate Professor, Head of Department «Information and electronic service», «Volga Region State University of Service» FGBOU VPO E-mail: volovach.vi@mail.ru


We considered the issues related to the estimation of measurement accuracy of vector information parameters of the signal, carrying the information about the motion of extended objects along with the additive non-Gaussian noise under discrete and continuous signal processing. It is demonstrated that taking into account the non-Gaussian nature of the actuating additive noise can significantly improve the accuracy of the estimated parameter and the greater is the difference between the probability density of the additive noise and Gaussian noise, the higher is the gain achieved. We obtained the expressions for estimating the accuracy of measurement of information parameters of the signal along with the correlated, in general, non-Gaussian additive noise under continuous processing. It is demonstrated that taking into ac-count the correlation properties and non-Gaussian nature of the additive noise can significantly improve the measurement accuracy of the information parameters. It is shown that compared to discrete processing continuous processing, ceteris paribus, allows us to obtain more accurate estimates of the measured parameters.
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