• DocumentCode
    2731874
  • Title

    A Hybrid Distance-measurement/Angle-of-arrival Approach to Localization

  • Author

    Ghosh, Sunit Kumar ; Ryan, Michael J. ; Frater, Michael R.

  • Author_Institution
    Sch. of Inf. Technol. & Electr. Eng., Univ. of New South Wales, Canberra, ACT
  • fYear
    2008
  • fDate
    7-10 Dec. 2008
  • Firstpage
    230
  • Lastpage
    234
  • Abstract
    Localization has received considerable attention because many wireless sensor network applications require accurate knowledge of the locations of the sensors in the network. The two main localization techniques are distance measurement and angle-of-arrival measurement. The former requires extensive calculations to resolve sign ambiguities in calculated angles, while the latter requires careful calibration to provide high accuracy. In this paper, we describe a hybrid technique, in which low-accuracy estimates of the angle-of-arrival are used to resolve the sign ambiguity in distance measurements. In many practical situations, the ambiguity can be resolved with a high probability of success even with an RMS error as high as 30 degrees in the line-of-bearing estimate, which avoids the need for calibration. Early resolution of this sign ambiguity can be used to develop lower-complexity localization techniques using distance measurement.
  • Keywords
    distance measurement; radio access networks; RMS error; angle-of-arrival approach; hybrid distance measurement; localization; sign ambiguities; wireless sensor network; Antenna measurements; Australia; Calibration; Clocks; Distance measurement; Goniometers; Inventory management; Monitoring; Power measurement; Wireless sensor networks;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Telecommunication Networks and Applications Conference, 2008. ATNAC 2008. Australasian
  • Conference_Location
    Adelaide, SA
  • Print_ISBN
    978-1-4244-2602-7
  • Electronic_ISBN
    978-1-4244-2603-4
  • Type

    conf

  • DOI
    10.1109/ATNAC.2008.4783328
  • Filename
    4783328