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[69930] Artykuł:

Analysis of signal of X8 unmanned aerial vehicle

Czasopismo: 2017 SIGNAL PROCESSING: ALGORITHMS, ARCHITECTURES, ARRANGEMENTS, AND APPLICATIONS (SPA 2017)   Strony: 69-72
ISSN:  2326-0262
ISBN:  978-8-3620-6530-1
Wydawca:  IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA
Opublikowano: 2017
Seria wydawnicza:  Signal Processing Algorithms Architectures Arrangements and Applications
 
  Autorzy / Redaktorzy / Twórcy
Imię i nazwisko Wydział Katedra Do oświadczenia
nr 3		 Grupa
przynależności		 Dyscyplina
naukowa		 Procent
udziału		 Liczba
punktów
do oceny pracownika		 Liczba
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kryteriów ewaluacji
Marzena Mięsikowska orcid logo WMiBMKatedra Technik Komputerowych i Uzbrojenia**Takzaliczony do "N"Automatyka, elektronika, elektrotechnika i technologie kosmiczne10015.0015.00  

Grupa MNiSW:  Materiały z konferencji międzynarodowej (zarejestrowane w Web of Science)
Punkty MNiSW: 15
Klasyfikacja Web of Science: Proceedings Paper

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Keywords:

Unmanned Aerial Vehicle  signal frequency analysis  sound levels  detection of unmanned aerial vehicles  


Abstract:

The aim of the present study was frequency analysis of the recorded acoustic signal of unmanned aerial vehicle (UAV) equipped with 8 rotating propellers conducting sound level, time frequency and discriminant function analyses. The analysis was performed to investigate sound levels of the UAV, the characteristic frequencies of the UAV, and differences between signals of the UAV at different altitudes. This information may prove important in applications for object detection. Recordings were acquired when the UAV was hovering at 10m, 20m, 30m, 40m, and 50m. Results showed that the sound level A when the UAV was hovering at 50m was 58 dB(A), and 70.4 dB(A) at 10m. The sound level decreased around 12.4 dB(A) with the increasing height position of the UAV from 10m to 50m. A fourfold increase of the height position caused a 12.4 dB(A) decrease in the sound level. Time-frequency analysis showed characteristic bands for the UAV hovering at different altitudes up to 1 kHz and around 8 kHz. Discriminant function analysis based on MFCC showed significant differences between signals of the UAV hovering at different altitudes but no significant differences between signals of the UAV hovering at the same altitude.


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