ISSN 1991-2927
 

ACP № 3 (57) 2019

Identification of Information Received From Passive Radar Means of Task Force Ships

Tatiana Nikolaevna Maslennikova, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the research-and-development laboratory at FRPC JSC ’RPA ’Mars’; an author of publications in the field of information support of special-purpose computer-aided systems. [e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ]T. Maslennikova,

Aleksei Aleksandrovich Murashov, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, graduated from the Faculty of Mathematics and Information Technologies of Ulyanovsk State University; Mathematician at FRPC JSC ’RPA ’Mars’; an author of articles in the field of software for automated systems. [e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ]A. Murashov,

Aleksandr Nikolaevich Piftankin, Federal Research-and-Production Center Joint Stock Company ‘Research-and-Production Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Mathematics and Mechanics of Ulyanovsk State University; Chief Specialist at FRPC JSC ’RPA ’Mars’; an author of publications in the field of fighter aviation planning and control. [e-mail: This email address is being protected from spambots. You need JavaScript enabled to view it. ]A. Piftankin

Identification of Information Received From Passive Radar Means of Task Force Ships 000_2.pdf

The article considers the mathematical model for identification of information received from passive radar means and construction of a metric form allowing to estimate the degree of different objects identity on the basis of an operator’s experience and algorithms of automatic identification of radar and radio-radar information. While constructing the metric form, machine-learning methods were used, particularly support vector machine. The method and the mathematical model for solving the ambiguity problem of radio-radar information identification based on the obtained mathematical function estimating degree of different objects identity are given. This mathematical model is reduced to the linear programming mathematical model and presented on the basis of standard methods. The computational experiment was performed in Matlab. In the context of the experiment, the algorithm of radio-radar objects identification was developed. With the use of data obtained in the computational experiment, the algorithm specification was hold and the positive result of the model usage was obtained.

Passive radar means, identification of information, objects identity measure, machine-learning method.

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