• DocumentCode
    1790891
  • Title

    Radiolocation and tracking of automatic identification system signals

  • Author

    Papi, Francesco ; Tarchi, Daniele ; Vespe, Michele ; Oliveri, F. ; Aulicino, G.

  • Author_Institution
    Curtin Univ., Bentley, WA, Australia
  • fYear
    2014
  • fDate
    June 29 2014-July 2 2014
  • Firstpage
    504
  • Lastpage
    507
  • Abstract
    The Automatic Identification System (AIS) is becoming a cornerstone of maritime situational awareness. Nevertheless, AIS suffers the lack of security measures that makes it prone to receiving vessel positions that are unintentionally incorrect, jammed or deliberately falsified. In this work we consider the processing of Time Difference of Arrival measurements from a network of AIS base stations using a classic radio-localisation method and an Extended Kalman Filter in geodetic coordinates. The approach is validated using anonymous real AIS data collected by multiple base stations that partly share coverage areas. The localization results show the operational potential for AIS data validation.
  • Keywords
    Kalman filters; nonlinear filters; radio direction-finding; radio tracking; telecommunication security; time-of-arrival estimation; AIS base stations; AIS data validation; automatic identification system signal radiolocation; automatic identification system signal tracking; extended Kalman filter; maritime situational awareness; radio-localisation method; time difference of arrival measurements; Base stations; Conferences; Kalman filters; Mathematical model; Trajectory; Vectors; AIS Data Validation; EKF; TDOA;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Statistical Signal Processing (SSP), 2014 IEEE Workshop on
  • Conference_Location
    Gold Coast, VIC
  • Type

    conf

  • DOI
    10.1109/SSP.2014.6884686
  • Filename
    6884686