• DocumentCode
    3241991
  • Title

    Adaptive leading edge detection for WSN localisation inside industrial processes

  • Author

    Antoniou, M. ; Green, P.N.

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
  • fYear
    2012
  • fDate
    18-19 June 2012
  • Firstpage
    1
  • Lastpage
    5
  • Abstract
    Research presented in this paper considers the development of a Wireless Sensor Network (WSN) positioning technique that uses Time Difference of Arrival (TDoA) to locate sensors transmitting Ultra Wideband (UWB) pulses. Two localisation algorithms have been examined with their accuracy depending on detection of the leading edges (LEs) of received pulses. A prototype algorithm shown major weaknesses in detecting LEs and was quite inaccurate. This paper proposes a novel adaptive LE method that improves localisation accuracy almost twice as opposed to the prototype method.
  • Keywords
    edge detection; wireless sensor networks; TDoA; WSN localisation; adaptive LE method; adaptive leading edge detection; industrial processes; ultra wideband pulses; wireless sensor network positioning technique; LE; TDoA; UWB; WSN; multilateration;
  • fLanguage
    English
  • Publisher
    iet
  • Conference_Titel
    Wireless Sensor Systems (WSS 2012), IET Conference on
  • Conference_Location
    London
  • Electronic_ISBN
    978-1-84919-625-3
  • Type

    conf

  • DOI
    10.1049/cp.2012.0581
  • Filename
    6294341