Makaruk, Maksym A.Nazarov, Alexei S.Shubin, Igor Yu.Shanidze, Nadezhda A.2023-03-122023-03-122021Knowledge Representation Method for Object Recognition in Nonlinear Radar Systems [Electronic resource] / Maksym Makaruka [et al.] // Computational Linguistics and Intelligent Systems : proc. of the 5th Inter. Conf. (COLINS 2021), Kharkiv, Ukraine, April 22-23, 2021. Vol. 1 : Main Conference. – Electronic text data. – Kharkiv, 2021. – Р. 948-958. – URL: http://ceur-ws.org/Vol-2870/, free (accessed 12.03.2023).https://repository.kpi.kharkov.ua/handle/KhPI-Press/63182Substantiation of the technical appearance of nonlinear short-range radar system designed to detect and measure the characteristics of objects with nonlinear electrical properties is the main topic of this article. The general principles of constructing short-range radar system are described in the form of their structural diagrams and algorithms for their operation, which ensure the maximization of the signal-to-noise power ratio at the output of the receiving device. An optimal procedure for distinguishing a noise-like signal against a background of noise and interference was proposed on the basis of measuring the moment characteristics of the probability distributions of signals and interference.enradiolocationnonlinear radarcorrelation filteringradar information processingArticlehttps://orcid.org/0000-0003-0008-6548https://orcid.org/0000-0001-8682-5000https://orcid.org/0000-0002-1073-023Xhttps://orcid.org/0000-0002-9613-186X