• 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