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Pregled bibliografske jedinice broj: 1042782

Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes


Đurek, Ivan; Petošić, Antonio; Grubeša, Sanja; Suhanek, Mia
Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes // IEEE access, 8 (2020), 10662-10670 doi:10.1109/ACCESS.2020.2965177 (međunarodna recenzija, članak, znanstveni)


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Naslov
Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes

Autori
Đurek, Ivan ; Petošić, Antonio ; Grubeša, Sanja ; Suhanek, Mia

Izvornik
IEEE access (2169-3536) 8 (2020); 10662-10670

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
Quadcopter, drone, detection, noise, characteristic sound print, time and frequency analysis

Sažetak
This paper presents a detailed analysis of quadcopter noise emitted in different flight regimes and suggests an innovative approach to quadcopter sound detection. Currently, quadcopters have become extremely popular and are used for various applications. In some case scenarios, these applications are not legal ; therefore, they represent a threat, and early detection of quadcopters becomes imperative. However, conventional detection with radars and infrared cameras does not provide satisfactory results, since some quadcopters have relatively small dimensions, and their motors have low heat emissions. Thus, this paper focuses on the noise emitted by quadcopters, which is connected to the changing revolutions per minute of the electric quadcopter motors. Thus, the paper connects the unique quadcopter features with the emitted sounds, which can be used for detection in different acoustic environments. The suggested algorithm uses signal processing with a nonlinear function, which results in new spectral lines that correspond to rotational speed differences between the front and rear motors. The analysis shows that the processed signal mixed with a traffic noise signal can be detected when the level reaches 3 dB lower than the level of the surrounding noise.

Izvorni jezik
Engleski

Znanstvena područja
Elektrotehnika, Računarstvo



POVEZANOST RADA


Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb

Profili:

Avatar Url Ivan Đurek (autor)

Avatar Url Sanja Grubeša (autor)

Avatar Url Antonio Petošić (autor)

Avatar Url Mia Suhanek (autor)

Poveznice na cjeloviti tekst rada:

doi

Citiraj ovu publikaciju:

Đurek, Ivan; Petošić, Antonio; Grubeša, Sanja; Suhanek, Mia
Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes // IEEE access, 8 (2020), 10662-10670 doi:10.1109/ACCESS.2020.2965177 (međunarodna recenzija, članak, znanstveni)
Đurek, I., Petošić, A., Grubeša, S. & Suhanek, M. (2020) Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes. IEEE access, 8, 10662-10670 doi:10.1109/ACCESS.2020.2965177.
@article{article, author = {\DJurek, Ivan and Peto\v{s}i\'{c}, Antonio and Grube\v{s}a, Sanja and Suhanek, Mia}, year = {2020}, pages = {10662-10670}, DOI = {10.1109/ACCESS.2020.2965177}, keywords = {Quadcopter, drone, detection, noise, characteristic sound print, time and frequency analysis}, journal = {IEEE access}, doi = {10.1109/ACCESS.2020.2965177}, volume = {8}, issn = {2169-3536}, title = {Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes}, keyword = {Quadcopter, drone, detection, noise, characteristic sound print, time and frequency analysis} }
@article{article, author = {\DJurek, Ivan and Peto\v{s}i\'{c}, Antonio and Grube\v{s}a, Sanja and Suhanek, Mia}, year = {2020}, pages = {10662-10670}, DOI = {10.1109/ACCESS.2020.2965177}, keywords = {Quadcopter, drone, detection, noise, characteristic sound print, time and frequency analysis}, journal = {IEEE access}, doi = {10.1109/ACCESS.2020.2965177}, volume = {8}, issn = {2169-3536}, title = {Analysis of a Quadcopter’s Acoustic Signature in Different Flight Regimes}, keyword = {Quadcopter, drone, detection, noise, characteristic sound print, time and frequency analysis} }

Časopis indeksira:


  • Current Contents Connect (CCC)
  • Web of Science Core Collection (WoSCC)
    • Science Citation Index Expanded (SCI-EXP)
    • SCI-EXP, SSCI i/ili A&HCI
  • Scopus


Citati:





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