Development of Methods for Identification of Information Controlling Signals of Unmanned Aircraft Complex Operator

O. Yudin, R. Ziubina, S. Buchyk, O. Matviichuk-Yudina, Olha Suprun, V. Ivannikova
{"title":"Development of Methods for Identification of Information Controlling Signals of Unmanned Aircraft Complex Operator","authors":"O. Yudin, R. Ziubina, S. Buchyk, O. Matviichuk-Yudina, Olha Suprun, V. Ivannikova","doi":"10.15587/1729-4061.2020.195510","DOIUrl":null,"url":null,"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","PeriodicalId":11974,"journal":{"name":"EngRN: Engineering Design Process (Topic)","volume":"55 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2020-04-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"16","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"EngRN: Engineering Design Process (Topic)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.15587/1729-4061.2020.195510","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 16

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
无人机复杂操作者信息控制信号识别方法研究
提出了利用无人机控制系统中语音信号形成的生物特征特征来验证和识别操作人员的方法。已经开发了一种用于语音信号频谱有效宽度的方法,该方法允许在各种来源的高水平干扰条件下,基于对声纹信息成分的分析来识别和验证无人驾驶飞行器的操作员。已经开发了一种方法,用于基音的最高信息权重,该方法基于使用语音信号打印的频谱表示的最具信息成分。第一种方法允许在高干扰水平的条件下,通过语音信号指纹的频谱表示的信息成分来识别无人驾驶飞行器的操作员。由于所选择的特征空间的唯一性,即使在相当高的干扰水平下也能保持其特征,因此使用该方法可以获得较高的指标。第二种方法通过具有独特语音特征的特定空间提供无人机的说话人识别。选取基本音和泛音的频率作为基本特征。这种解决识别问题的方法提供了在存在较高干扰水平的情况下确定操作者的高概率,并且与有效谱宽方法相比减少了信息处理时间。无人机系统的控制方法和模型的创建提高了控制系统的抗噪声水平和安全性,使其免受未经授权的操作人员的干预。使用操作员识别方法可以创建一个限制进入飞机控制过程的系统,从而确保无人机系统信息管理系统运行的连续性
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信