This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Open AccessArticle
Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions
by
Marzena Mięsikowska
Marzena Mięsikowska
Faculty of Mechatronics and Mechanical Engineering, Kielce University of Technology, 25-314 Kielce, Poland
Sensors 2024, 24(17), 5663; https://doi.org/10.3390/s24175663 (registering DOI)
Submission received: 7 August 2024
/
Revised: 24 August 2024
/
Accepted: 28 August 2024
/
Published: 30 August 2024
Abstract
Detection of unmanned aerial vehicles (UAVs) and their classification on the basis of acoustic signals recorded in the presence of UAVs is a very important source of information. Such information can be the basis of certain decisions. It can support the autonomy of drones and their decision-making system, enabling them to cooperate in a swarm. The aim of this study was to classify acoustic signals recorded in the presence of 17 drones while they hovered individually at a height of 8 m above the recording equipment. The signals were obtained for the drones one at a time in external environmental conditions. Mel-frequency cepstral coefficients (MFCCs) were evaluated from the recorded signals. A discriminant analysis was performed based on 12 MFCCs. The grouping factor was the drone model. The result of the classification is a score of 98.8%. This means that on the basis of acoustic signals recorded in the presence of a drone, it is possible not only to detect the object but also to classify its model.
Share and Cite
MDPI and ACS Style
Mięsikowska, M.
Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions. Sensors 2024, 24, 5663.
https://doi.org/10.3390/s24175663
AMA Style
Mięsikowska M.
Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions. Sensors. 2024; 24(17):5663.
https://doi.org/10.3390/s24175663
Chicago/Turabian Style
Mięsikowska, Marzena.
2024. "Classification of Unmanned Aerial Vehicles Based on Acoustic Signals Obtained in External Environmental Conditions" Sensors 24, no. 17: 5663.
https://doi.org/10.3390/s24175663
Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details
here.
Article Metrics
Article Access Statistics
For more information on the journal statistics, click
here.
Multiple requests from the same IP address are counted as one view.