TY - JOUR
T1 - Improvements to the Stevens drone acoustic detection system
AU - Kadyrov, Daniel
AU - Sedunov, Alexander
AU - Sedunov, Nikolay
AU - Sutin, Alexander
AU - Salloum, Hady
AU - Tsyuryupa, Sergey
N1 - Publisher Copyright:
© 2022 Acoustical Society of America.
PY - 2022/5/23
Y1 - 2022/5/23
N2 - Stevens Institute of Technology (SIT) designed and built multiple acoustic sensors to detect and track drones using Steered-Response Phase Transform (SRP-PHAT) and classify them using narrow-band frequencies. SIT improved a previously built four-microphone system by increasing the number of microphones to seven, modifying the software, and improving the testing algorithm for system performance estimation. The four- and the seven-microphone systems were deployed during several tests conducted with multi-rotor sUAS of different sizes, including the DJI Inspire 2, DJI Mavic 2 Pro, Autel Robotics EVO II Pro, and the Intel Falcon 8 performing flight patterns at various distances, elevations, and speeds. Acoustic signatures were collected and detection distances were compared for the tested drones. Measurements from the field test were used to recalculate UAS acoustic signatures to 1 meter. These signatures were applied to develop a simple method of acoustic detection distance estimation using the passive sonar equation. The improved seven-microphone system provided farther detection distances than the four-microphone system.
AB - Stevens Institute of Technology (SIT) designed and built multiple acoustic sensors to detect and track drones using Steered-Response Phase Transform (SRP-PHAT) and classify them using narrow-band frequencies. SIT improved a previously built four-microphone system by increasing the number of microphones to seven, modifying the software, and improving the testing algorithm for system performance estimation. The four- and the seven-microphone systems were deployed during several tests conducted with multi-rotor sUAS of different sizes, including the DJI Inspire 2, DJI Mavic 2 Pro, Autel Robotics EVO II Pro, and the Intel Falcon 8 performing flight patterns at various distances, elevations, and speeds. Acoustic signatures were collected and detection distances were compared for the tested drones. Measurements from the field test were used to recalculate UAS acoustic signatures to 1 meter. These signatures were applied to develop a simple method of acoustic detection distance estimation using the passive sonar equation. The improved seven-microphone system provided farther detection distances than the four-microphone system.
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U2 - 10.1121/2.0001602
DO - 10.1121/2.0001602
M3 - Conference article
AN - SCOPUS:85143799723
SN - 1939-800X
VL - 46
JO - Proceedings of Meetings on Acoustics
JF - Proceedings of Meetings on Acoustics
IS - 1
M1 - 45001
T2 - 182nd Meeting of the Acoustical Society of America, ASA 2022
Y2 - 23 May 2022 through 27 May 2022
ER -