
Main / Aleksei Aleksandrovich Murashov
Author: "Aleksei Aleksandrovich Murashov"
Tatiana Nikolaevna Maslennikova, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction Association ‘Mars’, Candidate of Engineering; graduated from the Faculty of Radioengineering of Ulyanovsk Polytechnic Institute; Head of the researchanddevelopment laboratory at FRPC JSC ’RPA ’Mars’; an author of publications in the field of information support of specialpurpose computeraided systems. [email: mars@mv.ru]T. Maslennikova, Aleksei Aleksandrovich Murashov, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction 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. [email: mars@mv.ru]A. Murashov, Aleksandr Nikolaevich Piftankin, Federal ResearchandProduction Center Joint Stock Company ‘ResearchandProduction 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. [email: mars@mv.ru]A. Piftankin


Identification of Information Received From Passive Radar Means of Task Force Ships
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 radioradar information. While constructing the metric form, machinelearning methods were used, particularly support vector machine. The method and the mathematical model for solving the ambiguity problem of radioradar 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 radioradar 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, machinelearning method.



Sections: Automated control systems
Subjects: Automated control systems, Mathematical modeling, Architecture of ship's system. 
