TY - GEN
T1 - Stevens Drone Detection Acoustic System and Experiments in Acoustics UAV Tracking
AU - Sedunov, A.
AU - Haddad, Darren
AU - Salloum, Hady
AU - Sutin, Alexander
AU - Sedunov, Nikolay
AU - Yakubovskiy, Alexander
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/11
Y1 - 2019/11
N2 - Concerns about improper use of Unmanned Aerial Vehicles (UAVs, also unmanned aerial systems or UAS) led to the development of various methods for their detection, tracking, and classification. One of the methods is using acoustics. Advantages of passive acoustics include the low cost of acoustic systems, finding of the Direction of Arrival (DOA) and localization by simple means; and classification of UAV sounds by acoustic signature. Stevens Institute of Technology has developed and built the Drone Acoustic Detection System (DADS) that can detect, track and classify UAVs based on the propeller noise. The system consists of three or more microphone nodes. The microphones in each node are arranged in a tetrahedron with configurable size. The microphone data is transferred over WiFi in real-time to a central computer, where it is processed. The Stevens DADS system was investigated in numerous field tests together with several other directional arrays including a 16-channel two-tier cross array, the OptiNav 40-microphone phased array, and parabolic and shot gun microphones. Multirotor UAVs of different sizes were employed in testing, including DJI models Phantom 4, M600 and S1000. The test results of the different systems were compared.
AB - Concerns about improper use of Unmanned Aerial Vehicles (UAVs, also unmanned aerial systems or UAS) led to the development of various methods for their detection, tracking, and classification. One of the methods is using acoustics. Advantages of passive acoustics include the low cost of acoustic systems, finding of the Direction of Arrival (DOA) and localization by simple means; and classification of UAV sounds by acoustic signature. Stevens Institute of Technology has developed and built the Drone Acoustic Detection System (DADS) that can detect, track and classify UAVs based on the propeller noise. The system consists of three or more microphone nodes. The microphones in each node are arranged in a tetrahedron with configurable size. The microphone data is transferred over WiFi in real-time to a central computer, where it is processed. The Stevens DADS system was investigated in numerous field tests together with several other directional arrays including a 16-channel two-tier cross array, the OptiNav 40-microphone phased array, and parabolic and shot gun microphones. Multirotor UAVs of different sizes were employed in testing, including DJI models Phantom 4, M600 and S1000. The test results of the different systems were compared.
KW - UAV detection tracking
KW - and classification
KW - passive acoustics
KW - signal processing
UR - http://www.scopus.com/inward/record.url?scp=85078740995&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85078740995&partnerID=8YFLogxK
U2 - 10.1109/HST47167.2019.9032916
DO - 10.1109/HST47167.2019.9032916
M3 - Conference contribution
AN - SCOPUS:85078740995
T3 - 2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
BT - 2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
T2 - 2019 IEEE International Symposium on Technologies for Homeland Security, HST 2019
Y2 - 5 November 2019 through 6 November 2019
ER -