• DocumentCode
    1286675
  • Title

    Iterative altitude-aiding algorithm for improved GNSS positioning

  • Author

    Rao, Madhav ; Lo Presti, Letizia ; Samson, Jonathan

  • Author_Institution
    DIEET, Univ. degli Studi di Palermo, Palermo, Italy
  • Volume
    5
  • Issue
    7
  • fYear
    2011
  • fDate
    8/1/2011 12:00:00 AM
  • Firstpage
    788
  • Lastpage
    795
  • Abstract
    The system proposed in this study relies on a WAVE P2P network, which is a proper standard to fit the vehicular environment wireless communications requests. Starting from the chance to exchange information given by this infrastructure, the possibility to improve the performance of a global navigation satellite system (GNSS) receiver based on a Kalman filter is considered. This improvement is obtained exploiting the external altitude measurements provided by other peers in the network, equipped with GNSS receivers. The topic of an altitude-aided system has been described in a previous work, that highlighted the need for a parameter that points out the effectiveness and the consistency of the computed aiding measurement, namely the altitude-aiding reliability index. A detailed analysis of this reliability index led to the development of an iterative algorithm to be used in the presence of three satellites and of a biased aiding, in order to overcome the issues related to this peculiar scenario, which is the main result of this work.
  • Keywords
    Kalman filters; iterative methods; peer-to-peer computing; satellite navigation; GNSS positioning; Kalman filter; WAVE P2P network; altitude-aided system; computed aiding measurement; global navigation satellite system; information exchange; iterative algorithm; iterative altitude-aiding algorithm; vehicular environment wireless communications;
  • fLanguage
    English
  • Journal_Title
    Radar, Sonar & Navigation, IET
  • Publisher
    iet
  • ISSN
    1751-8784
  • Type

    jour

  • DOI
    10.1049/iet-rsn.2010.0187
  • Filename
    5968008