• DocumentCode
    498750
  • Title

    Radio interferometric Quasi Doppler bearing estimation

  • Author

    Sallai, János ; Völgyesi, Péter ; Lédeczi, Ákos

  • Author_Institution
    Inst. for Software Integrated Syst., Vanderbilt Univ., Nashville, TN, USA
  • fYear
    2009
  • fDate
    13-16 April 2009
  • Firstpage
    325
  • Lastpage
    336
  • Abstract
    The paper introduces a novel technique for the bearing estimation of radio sources that can be used for the precise localization and/or tracking of RF tags such as wireless sensor nodes. It is well known that the bearing to a radio source can be estimated by an array of antennas typically arranged in a circular manner. The method is often referred to as quasi-Doppler measurement. The disadvantage of the existing method is that the receiver is relatively large because of the multiple antennas (typically 8 or 16) and it is computationally intensive to process the high frequency radio signals. Thus, it cannot be done on small, inexpensive radio tags. Instead, we propose to use the array on the transmitter side utilizing as few as three antennas. We use a radio interferometric technique to transform the useful phase information from the high frequency radio signal to a low frequency signal (< 1 kHz) that can be processed on low-cost hardware. Utilizing three anchors nodes with small antenna arrays, any number of low cost wireless nodes with single antennas can be accurately localized.
  • Keywords
    Doppler measurement; antenna arrays; direction-of-arrival estimation; radio direction-finding; wireless sensor networks; RF tag localization; RF tag tracking; antenna array; bearing estimation; high frequency radio signal processing; phase information; quasiDoppler measurement; radio interferometry; radio receiver; radio source; single antenna; wireless sensor network; Antenna arrays; Antenna measurements; Direction of arrival estimation; Quasi-doping; RF signals; Radio frequency; Radio interferometry; Receivers; Signal processing; Wireless sensor networks; Localization; Ranging; Sensor Networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
  • Conference_Location
    San Francisco, CA
  • Print_ISBN
    978-1-4244-5108-1
  • Electronic_ISBN
    978-1-60558-371-6
  • Type

    conf

  • Filename
    5211920