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2021 | OriginalPaper | Buchkapitel

Air Navigation: An Integrated Test Method for Airborne Objects’ Identification Systems

verfasst von : Ivan I. Linnik, Elena P. Linnik, Igor Yu. Grishin, Rena R. Timirgaleeva, Aleksander A. Tamargazin

Erschienen in: Futuristic Trends in Network and Communication Technologies

Verlag: Springer Singapore

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Abstract

The article analyses the methods of increasing the efficiency of the processes of airborne objects’ classification along with the possible solutions to the problems of airspace operating procedure. The methods of formalizing and assessing the information quality are developed to classify airborne objects. Formulated is the verification method of the fuzzy logical system’s software used to classify airborne objects. Particular attention is paid to the analysis of the completeness and reliability of the input information, the properties of the mechanism of logical conclusions having deterministic decision-making branches on airborne objects and decision-making branches based on fuzzy logical inference with the formation of the «confidence» vector towards decision options.
The article is just the first part of a group of methods proposed to the scientific community for the purpose of simplifying the processes of identifying airborne objects illegally located in controlled areas and, in particular, verifying the software used for this purpose. It also continues a series of articles dealing with the problems of air navigation.

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Metadaten
Titel
Air Navigation: An Integrated Test Method for Airborne Objects’ Identification Systems
verfasst von
Ivan I. Linnik
Elena P. Linnik
Igor Yu. Grishin
Rena R. Timirgaleeva
Aleksander A. Tamargazin
Copyright-Jahr
2021
Verlag
Springer Singapore
DOI
https://doi.org/10.1007/978-981-16-1483-5_6

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