Abstract

Methods for verifying and identifying the operator by the features of the formation of biometric features of a speech signal in control systems of unmanned aerial systems are proposed. A method has been developed for the effective width of the spectrum of a speech signal, which allows identification and verification of the operator of an unmanned aerial vehicle based on an analysis of the informative components of voice prints under conditions of a high level of interference of various origins. A method has been developed for the highest informational weight of the fundamental tone, which is based on the use of the most informative components of the spectral representation of the prints of a speech signal. The first method allows to identify the operator of an unmanned aerial vehicle by the informative components of the spectral representation of the fingerprint of a speech signal under conditions of a high level of interference. High indicators, which are achieved by using this method, are obtained due to the uniqueness of the selected feature space, which retain their characteristics even with a fairly high level of interference. The second method provides speaker identification of an unmanned aerial vehicle by a specific space of unique voice features. The frequencies of the fundamental tone and overtones were chosen as the basic features. Such an approach to solving the identification problem provides a high probability of determining the operator with the existing rather high level of interference and reduces the processing time of information in comparison with the effective spectrum width method. The creation of control methods and models for unmanned aerial systems provides an increase in the level of noise immunity and safety of control systems from interventions by an unauthorized operator. Using operator identification methods allows to create a system for restricting access to the aircraft control process and thereby ensure the continuity of the operation of the information management system for unmanned aerial systems

Highlights

  • The rapid development of public relations and their basic component – information and communication systems requires the creation of new technologies for processing, storage, transmission and display of information.It is impossible to imagine a modern society without providing various classes of high-quality information technology (IT) services in general and special purpose information systems (IS)

  • It is the efficiency of the use of unmanned aerial vehicles (UAVs) that becomes the basis for the development and improvement of information technology for the management of aviation unmanned systems in complex radio conditions

  • A distinctive feature of the developed methods should be the use of biometric characteristics and the most informative components of the spectrum of the vocalized signal of an authorized operator against a background of a high level of interference based on statistical methods for taking the target, which will make it possible to increase the noise immunity and protect the UAV control system from unauthorized interference

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Summary

OF METHODS FOR

V. Ivannikova PhD, Associate Professor Department of Air Transportation Management*** *Department of Theoretical Cybernetics** **Taras Shevchenko National University of Kyiv Volodymyrska str., 60, Kyiv, Ukraine, 01601 ***National Aviation University Liubomyra Huzara ave., 1, Kyiv, Ukraine, 03058 This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0)

Introduction
Literature review and problem statement
The aim and objectives of the study
Development of a method of effective spectrum width of voiced operator signal
Findings
Conclusions

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