Publication: Processing and Recognition of Small Unmanned Vehicles Sound Signals International Scientific-Practical Conference on Problems of Infocommunications Science and Technology
| dc.contributor.author | Карташов, В. М. | |
| dc.contributor.author | Олейніков, В. М. | |
| dc.contributor.author | Коритцев, І. В. | |
| dc.contributor.author | Зубков, О. В. | |
| dc.contributor.author | Бабкін, С. І. | |
| dc.contributor.author | Шейко, С. О. | |
| dc.date.accessioned | 2020-05-29T14:04:54Z | |
| dc.date.available | 2020-05-29T14:04:54Z | |
| dc.date.issued | 2019 | |
| dc.description.abstract | Information characteristics of small unmanned aerial vehicles (UAVs) sound signals are analyzed and their descriptions for a quadcopter and monoplane are presented. The difference between signals of UAVs themselves and a noisy background becomes noticeable in the frequency domain. Research shows that signals energy spectra have a significant region of broadband noise and harmonic components with frequencies that are multiples of a rotational propellers speed. Even with averaging spectral estimates over ensemble of samples, harmonics are confidently observed. With the difference in modes of quadcopter engines the spectral maxima are divided into some portions, this can be one of the most important factors for UAV detection and classification systems. To provide their operation more close to a real time the fast algorithm is suggested. It includes the stage of forming primary recognition signs on the base of broadband sound signals spectra with harmonics and a specific noise. This description is compressed by the orthogonal transformation of its covariance matrix. Recognition of UAVs sound signals is according to the Dice similarity criteria in the compressed signal domain on using a small number of covariance matrix eigenvectors. | uk_UA |
| dc.identifier.citation | Kartashov, V., Oleynikov, V., Koryttsev, I., Zubkov, O., Babkin, S., Sheiko, S. Processing and Recognition of Small Unmanned Vehicles Sound Signals International Scientific-Practical Conference on Problems of Infocommunications Science and Technology, PIC S and T 2018 - Proceedings 31 January 2019, Pages 392-396 (Обробка та розпізнавання звукових сигналів малих безпілотних апаратів) | uk_UA |
| dc.identifier.isbn | 978-1-5386-6609-8 | |
| dc.identifier.uri | http://openarchive.nure.ua/handle/document/11896 | |
| dc.language.iso | en_US | uk_UA |
| dc.subject | information characteristic | uk_UA |
| dc.subject | sound signals | uk_UA |
| dc.subject | unmanned aerial vehicles | uk_UA |
| dc.subject | signal energy spectrum | uk_UA |
| dc.subject | information signs | uk_UA |
| dc.subject | decision making rule | uk_UA |
| dc.subject | detection | uk_UA |
| dc.title | Processing and Recognition of Small Unmanned Vehicles Sound Signals International Scientific-Practical Conference on Problems of Infocommunications Science and Technology | uk_UA |
| dc.type | Thesis | uk_UA |
| dspace.entity.type | Publication |