ISSN 1991-2927
 

ACP № 2 (56) 2019

Author: "Stanislav Vladimirovich Tokmakov"

Aleksandr Nikolaevich Piftankin, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Engineering; graduatedfromthe Faculty of Mathematics and Mechanics at Ulyanovsk State University; Chief Specialist of FRPC JSC ‘RPA ‘Mars’; an author of papers in the field of process automation of complex radar information processing. [e-mail: mars@mv.ru]A. Piftankin,

Anastasiia Vladimirovna Polovinkina, FRPC JSC ‘RPA ‘Mars’, Candidate of Science in Physics and Mathematics; graduated from the Faculty of Mathematics and Information Technologies at Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; an author of papers in the field of fundamental investigations. [e-mail: mars@mv.ru]A. Polovinkina,

Stanislav Vladimirovich Tokmakov, FRPC JSC ‘RPA ‘Mars’, graduated from the Faculty of Mathematics, Information and Aeronautical Technologies at Ulyanovsk State University; Software Engineer at FRPC JSC ‘RPA ‘Mars’; his research interests include machine learning methods of control systems. [e-mail: mars@mv.ru]S. Tokmakov

Mathematical Model and Algorithm for the Identification Task of Radio- Emitting Objects of Tactical Situation on Data From Ships of Task Force 54_2.pdf

The article presents a mathematical model and algorithm for tasks of radio-emitting objects identification. The identification task partition into component parts is carried out. New approaches to the calculation of the radio-emitting object identification level from geometric and signal features will be found in the article. Authors propose a priority sequence of tasks to be solved based on practice of working with special information. A new mathematical model for constructing the identification evaluation function from signal features is developed. This model is not restricted to the assumption of thelinearity of this function. Algorithms for calculating the threshold values of object identification are presented. An algorithm for the radio object identification is developed under conditions of the computing experiment performed in the MATLAB environment. Following the results of the computing experiment, the algorithm has been defined more exactly, the positive outcomes of using the model have been provided.

Passive radio aids, information identification, object identification level, machine learning method.

2018_ 4

Sections: Automated control systems

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



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