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
fDate :
June 29 2014-July 2 2014
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;
Conference_Titel :
Statistical Signal Processing (SSP), 2014 IEEE Workshop on
Conference_Location :
Gold Coast, VIC
DOI :
10.1109/SSP.2014.6884686