DocumentCode :
1882277
Title :
Acoustic system for Low Flying Aircraft detection
Author :
Salloum, Hady ; Sedunov, Alexander ; Sedunov, Nikolay ; Sutin, Alexander ; Masters, David
Author_Institution :
Stevens Inst. of Technol., Hoboken, NJ, USA
fYear :
2015
fDate :
14-16 April 2015
Firstpage :
1
Lastpage :
6
Abstract :
Low Flying Aircraft (LFA) have been used in illicit activities across borders as they are difficult to detect by radars. Stevens Institute of Technology has developed and built an Acoustic Air Detection (AAD) system that can detect, track and classify small aircrafts, helicopters and ultralights. The AAD consists of several nodes, where each node has five microphone clusters. Initial signal processing is conducted at each node, where the cross-correlation of signals between various microphone pairs is used for finding the acoustic signal direction of arrival. Limited acoustic signature and bearing information from each node is sent via a microwave link to a central processing station, where triangulation of the directions of arrival from two or more nodes allows for target localization. Special developed software separates acoustic signals of various Targets of Opportunity (TOO) from other manmade and natural sounds. A network of four AAD nodes was operated in a mountainous area for more than 10 months and during this time (which included changing seasons with high winds, rain and snow), the AAD system performed without interruption.
Keywords :
acoustic signal processing; acoustic transducers; aircraft; direction-of-arrival estimation; helicopters; microphones; source separation; AAD system; LFA; Stevens Institute of Technology; TOO; acoustic air detection system; acoustic signal direction of arrival; acoustic signature; acoustic system; bearing information; central processing station; cross-correlation signal processing; helicopter; low flying aircraft detection; microphone cluster; microwave link; radar detection; target localization; targets of opportunity; ultralight; Acoustics; Aircraft; Cameras; Microphones; Noise; Software; Target tracking; Low Flying Aircraft; acoustic detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Technologies for Homeland Security (HST), 2015 IEEE International Symposium on
Conference_Location :
Waltham, MA
Print_ISBN :
978-1-4799-1736-5
Type :
conf
DOI :
10.1109/THS.2015.7225298
Filename :
7225298
Link To Document :
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