• DocumentCode
    2035406
  • Title

    A unified detection framework for distributed active and passive RF sensing

  • Author

    Hack, Daniel E. ; Patton, Lee K. ; Himed, Braham

  • Author_Institution
    Matrix Res., Inc., Beavercreek, OH, USA
  • fYear
    2013
  • fDate
    3-6 Nov. 2013
  • Firstpage
    449
  • Lastpage
    453
  • Abstract
    This work considers centralized detection in distributed RF sensor networks. We present a comparative analysis of GLRT detection in active and passive networks including active multiple-input multiple-output (MIMO) radar (AMR), passive MIMO radar (PMR), and passive source localization (PSL). Our results demonstrate that PMR generalizes AMR and PSL in that PMR detection sensitivity may approximate that of AMR or PSL depending on the average direct-path-to-noise ratio (DNR). At high DNR, PMR sensitivity equals AMR sensitivity. At low DNR, PMR sensitivity approximates PSL sensitivity. At intermediate DNRs, PMR sensitivity transitions from PSL to AMR sensitivity with increasing DNR. Thus, PMR may be regarded as the link between AMR and PSL sensor networks that unifies them within a common theoretical framework.
  • Keywords
    MIMO radar; passive radar; radar detection; wireless sensor networks; AMR sensitivity; AMR sensor networks; DNR; GLRT detection analysis; MIMO radar; PMR detection sensitivity; PSL sensor networks; active multiple-input multiple-output radar; active networks; average direct-path-to-noise ratio; centralized detection; distributed RF sensor networks; distributed active RF sensing; passive MIMO radar; passive RF sensing; passive networks; passive source localization; unified detection framework; Arrays; Detectors; MIMO radar; Radio frequency; Receivers; Sensitivity; Transmitters;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signals, Systems and Computers, 2013 Asilomar Conference on
  • Conference_Location
    Pacific Grove, CA
  • Print_ISBN
    978-1-4799-2388-5
  • Type

    conf

  • DOI
    10.1109/ACSSC.2013.6810317
  • Filename
    6810317