• DocumentCode
    2260247
  • Title

    Fast localization of radio frequency emitters using wireless sensor networks

  • Author

    Batson, Mickey S. ; McEachen, John C. ; Tummala, Murali

  • Author_Institution
    Naval Postgraduate Sch., Monterey
  • fYear
    2007
  • fDate
    17-19 Oct. 2007
  • Firstpage
    893
  • Lastpage
    898
  • Abstract
    We investigate the use of a wireless sensor network for identifying the direction of a radio frequency (RF) transmission. Specifically, we consider the combined use of time difference of arrival (TDOA) and beamforming techniques to steer a beam in the desired direction and enhance radio frequency (RF) direction finding and follow-on signal reception. The TDOA lines-of bearing are calculated using a combination of the Cross-Ambiguity Function to calculate the actual time difference and the Newton-Raphson technique to focus the beamforming efforts. A Least Mean Squares (LMS) adaptive beamforming algorithm is then used to localize the target for further prosecution. Simulations indicate considerable improvement can be achieved using this combined method.
  • Keywords
    Newton-Raphson method; array signal processing; least mean squares methods; time-of-arrival estimation; wireless sensor networks; LMS; Newton-Raphson technique; TDOA; beamforming techniques; cross-ambiguity function; least mean squares adaptive beamforming algorithm; radio frequency emitters; time difference-of-arrival; wireless sensor networks; Array signal processing; Centralized control; Communication system control; Radio frequency; Radiofrequency identification; Sensor arrays; Signal processing; Time difference of arrival; Unmanned aerial vehicles; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Communications and Information Technologies, 2007. ISCIT '07. International Symposium on
  • Conference_Location
    Sydney,. NSW
  • Print_ISBN
    978-1-4244-0976-1
  • Electronic_ISBN
    978-1-4244-0977-8
  • Type

    conf

  • DOI
    10.1109/ISCIT.2007.4392142
  • Filename
    4392142