2022
DOI: 10.30898/1684-1719.2022.11.19
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Application of Queuing Theory to the Estimation of the Feature Space for Radar Sources in Machine Learning

Abstract: The estimation of the feature space in analysis of radar signals (airplanes, ships, navigation stations, etc.), is an important element of machine learning. From the point of view of queuing theory, a mathematical model of a complex detected signal can be represented as the ordinary flow of events described by a Poisson distribution for randomly varying parameters of a signal. The paper demonstrates the orthogonality of the characteristic space of radar sources based on the entropy estimation. We show that the… Show more

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