TY - GEN
T1 - Long-term testing of acoustic system for tracking low-flying aircraft
AU - Sedunov, Alexander
AU - Salloum, Hady
AU - Sutin, Alexander
AU - Sedunov, Nikolay
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/12
Y1 - 2018/12/12
N2 - Stevens Institute of Technology conducted a long-term test of an acoustic system designed to track low-flying small aircraft in remote locations. The system consists of 4 nodes located between 1 and 4 km apart in a mountainous terrain. Each node is comprised of a pyramid-shaped volumetric cluster of 5 microphones, an embedded computer, and a pan-tilt-zoom camera steered to detected targets in real time. A communication device was used to transfer data to a centralized location. Each node estimates the direction of arrival toward the sound sources and sends it along to a central processing computer. The central computer combines the data from all nodes to generate tracks and classify targets. The duration and the scale of the deployment allowed to identify and solve many problems, including the effects of propagation delays between nodes on cooperative localization and tracking, the seasonal changes in environmental noise, persistent and transient noise sources, and the diversity of targets of opportunity and their signatures. The propagation delay effects led to the development of separate trackers for review of target trajectories and for immediate action such as automatically steering the camera.
AB - Stevens Institute of Technology conducted a long-term test of an acoustic system designed to track low-flying small aircraft in remote locations. The system consists of 4 nodes located between 1 and 4 km apart in a mountainous terrain. Each node is comprised of a pyramid-shaped volumetric cluster of 5 microphones, an embedded computer, and a pan-tilt-zoom camera steered to detected targets in real time. A communication device was used to transfer data to a centralized location. Each node estimates the direction of arrival toward the sound sources and sends it along to a central processing computer. The central computer combines the data from all nodes to generate tracks and classify targets. The duration and the scale of the deployment allowed to identify and solve many problems, including the effects of propagation delays between nodes on cooperative localization and tracking, the seasonal changes in environmental noise, persistent and transient noise sources, and the diversity of targets of opportunity and their signatures. The propagation delay effects led to the development of separate trackers for review of target trajectories and for immediate action such as automatically steering the camera.
KW - Low-flying aircraft
KW - Passive acoustics
KW - Signal processing
UR - http://www.scopus.com/inward/record.url?scp=85060493048&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85060493048&partnerID=8YFLogxK
U2 - 10.1109/THS.2018.8574201
DO - 10.1109/THS.2018.8574201
M3 - Conference contribution
AN - SCOPUS:85060493048
T3 - 2018 IEEE International Symposium on Technologies for Homeland Security, HST 2018
BT - 2018 IEEE International Symposium on Technologies for Homeland Security, HST 2018
T2 - 2018 IEEE International Symposium on Technologies for Homeland Security, HST 2018
Y2 - 23 October 2018 through 24 October 2018
ER -