• DocumentCode
    1776154
  • Title

    Radar-based monitoring system for nocturnal assessment

  • Author

    Mirzaei, Golrokh ; Jamali, Mohsin ; Ross, Jeremy D. ; Gorsevski, Peter V. ; Frizado, Joseph P. ; Bingman, Verner P.

  • Author_Institution
    Dept. of Electr. & Comput. Sci., Univ. of Toledo, Toledo, OH, USA
  • fYear
    2014
  • fDate
    5-7 June 2014
  • Firstpage
    252
  • Lastpage
    255
  • Abstract
    A radar monitoring system is implemented to evaluate the birds activity and their quantification in the western basin of lake Erie in Ohio. This location is a habitat stopover for migratory birds and also it is a putative area for constructing wind farm. The radar monitoring is performed in three steps consist of data acquisition, blip detections, and target tracking. Blip detection is performed in radR platform and tracking is performed using developed particle filter in MATLAB. The radar monitoring system is used to process data collected in migration period of fall and spring 2011.
  • Keywords
    airborne radar; biological techniques; biology computing; data acquisition; mathematics computing; radar detection; radar tracking; target tracking; zoology; MATLAB; birds activity; blip detections; data acquisition; data collection; migratory bird stopover; nocturnal assessment; particle filter; radR platform; radR tracking; radar-based monitoring system; target tracking; wind farm; Monitoring; Particle filters; Radar antennas; Radar detection; Radar tracking; Target tracking;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Electro/Information Technology (EIT), 2014 IEEE International Conference on
  • Conference_Location
    Milwaukee, WI
  • Type

    conf

  • DOI
    10.1109/EIT.2014.6871771
  • Filename
    6871771