• DocumentCode
    1781118
  • Title

    Integrated sensor detection/localization for multi-source data

  • Author

    Kay, Steven ; Cogun, Fuat

  • Author_Institution
    Dept. of Electr., Comput. & Biomed. Eng., Univ. of Rhode Island, Kingston, RI, USA
  • fYear
    2014
  • fDate
    19-23 May 2014
  • Abstract
    In this paper, the detection/localization of a target based on radio-frequency (RF) and infra-red (IR) data sources problem is addressed. The target is assumed to radiate an RF signal to multiple widely distributed sensors in space and is imaged using multiple frames of an IR sensor. The goal is to integrate RF and IR data to reliably detect and localize the target. The generalized likelihood ratio test (GLRT) approach is employed to find the detector. In order to reduce the computation required by a straightforward GLRT, the random basis function (RBF) approach is used.
  • Keywords
    distributed sensors; infrared detectors; object detection; signal detection; GLRT; IR sensor; RBF; distributed sensors; generalized likelihood ratio test; integrated sensor detection-localization; random basis function approach; target detection; target localisation; Atmospheric modeling; Data models; Detectors; Maximum likelihood estimation; Noise; RF signals; Radio frequency;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Radar Conference, 2014 IEEE
  • Conference_Location
    Cincinnati, OH
  • Print_ISBN
    978-1-4799-2034-1
  • Type

    conf

  • DOI
    10.1109/RADAR.2014.6875682
  • Filename
    6875682