X4无人机信号的判别分析

M. Miesikowska
{"title":"X4无人机信号的判别分析","authors":"M. Miesikowska","doi":"10.1109/APUAVD.2017.8308816","DOIUrl":null,"url":null,"abstract":"The aim of the present study was analysis of the acoustic signal of unmanned aerial vehicle equipped with 4 rotating propellers using time-frequency analysis and discriminant function analysis. The analysis was performed to investigate the characteristic frequencies of the unmanned aerial vehicle, and the differences between signals of the unmanned aerial vehicle at different altitudes using Mel-frequency cepstral coefficients and discriminant function analysis. The signals were acquired when the unmanned aerial vehicle was hovering at 50 m, 100 m, 150 m, and 200 m. Results showed the characteristic frequencies of the unmanned aerial vehicle up to 1 kHz and at 4 kHz. Discriminant function analysis based on Mel-frequency cepstral coefficients showed significant main effects between signals of the unmanned aerial vehicle hovering at different altitudes but no significant differences between signals of the unmanned aerial vehicle hovering at the same altitude. The analysis may prove important in applications for detection of unmanned aerial vehicles.","PeriodicalId":163267,"journal":{"name":"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)","volume":"94 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-10-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"Discriminant analysis of signal of X4 unmanned aerial vehicle\",\"authors\":\"M. Miesikowska\",\"doi\":\"10.1109/APUAVD.2017.8308816\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of the present study was analysis of the acoustic signal of unmanned aerial vehicle equipped with 4 rotating propellers using time-frequency analysis and discriminant function analysis. The analysis was performed to investigate the characteristic frequencies of the unmanned aerial vehicle, and the differences between signals of the unmanned aerial vehicle at different altitudes using Mel-frequency cepstral coefficients and discriminant function analysis. The signals were acquired when the unmanned aerial vehicle was hovering at 50 m, 100 m, 150 m, and 200 m. Results showed the characteristic frequencies of the unmanned aerial vehicle up to 1 kHz and at 4 kHz. Discriminant function analysis based on Mel-frequency cepstral coefficients showed significant main effects between signals of the unmanned aerial vehicle hovering at different altitudes but no significant differences between signals of the unmanned aerial vehicle hovering at the same altitude. The analysis may prove important in applications for detection of unmanned aerial vehicles.\",\"PeriodicalId\":163267,\"journal\":{\"name\":\"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)\",\"volume\":\"94 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-10-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/APUAVD.2017.8308816\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE 4th International Conference Actual Problems of Unmanned Aerial Vehicles Developments (APUAVD)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/APUAVD.2017.8308816","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

摘要

采用时频分析和判别函数分析方法对四螺旋桨无人机的声信号进行了分析。利用mel频率倒谱系数和判别函数分析,研究了无人机的特征频率,以及不同高度无人机信号之间的差异。无人机在50米、100米、150米和200米悬停时采集信号。结果表明,该无人机的特征频率可达1 kHz和4 kHz。基于mel频倒谱系数的判别函数分析表明,不同悬停高度的无人机信号之间存在显著的主效应,而相同悬停高度的无人机信号之间无显著差异。该分析可能在无人驾驶飞行器的检测应用中具有重要意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Discriminant analysis of signal of X4 unmanned aerial vehicle
The aim of the present study was analysis of the acoustic signal of unmanned aerial vehicle equipped with 4 rotating propellers using time-frequency analysis and discriminant function analysis. The analysis was performed to investigate the characteristic frequencies of the unmanned aerial vehicle, and the differences between signals of the unmanned aerial vehicle at different altitudes using Mel-frequency cepstral coefficients and discriminant function analysis. The signals were acquired when the unmanned aerial vehicle was hovering at 50 m, 100 m, 150 m, and 200 m. Results showed the characteristic frequencies of the unmanned aerial vehicle up to 1 kHz and at 4 kHz. Discriminant function analysis based on Mel-frequency cepstral coefficients showed significant main effects between signals of the unmanned aerial vehicle hovering at different altitudes but no significant differences between signals of the unmanned aerial vehicle hovering at the same altitude. The analysis may prove important in applications for detection of unmanned aerial vehicles.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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