DocumentCode
3721990
Title
Combination of radar and audio sensors for identification of rotor-type Unmanned Aerial Vehicles (UAVs)
Author
Seongha Park;Sangmi Shin;Yongho Kim;Eric T. Matson;Kyuhwan Lee;Paul J. Kolodzy;Joseph C. Slater;Matthew Scherreik;Monica Sam;John C. Gallagher;Benjamin R. Fox;Michael Hopmeier
Author_Institution
M2M Laboratory, Computer and Information Technology Purdue University West Lafayette, Indiana, USA
fYear
2015
Firstpage
1
Lastpage
4
Abstract
Rotor-type small size Unmanned Aerial Vehicles (UAVs) for recreational purposes have threatened people in public area by flying over them and crashing accidently without any safe mechanisms. In order to offset such threats, we investigated various types of sensors to detect airborne objects and propose a combination of radar and acoustic sensors. The proposed combination is able not only to detect an object, but also to identify whether the object is a threat or an uninterested object (e.g., birds). Moreover, we used inexpensive COTS components to reduce the cost of a system that uses the sensors. Preliminary experiments show an initial configuration of the system and the results that the sensors are able to identify a pre-profiled UAVs flying over the surveillance area.
Keywords
"Acoustic sensors","Sensor systems","Radar detection","Arrays","Microphones"
Publisher
ieee
Conference_Titel
SENSORS, 2015 IEEE
Type
conf
DOI
10.1109/ICSENS.2015.7370533
Filename
7370533
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