Title :
Using the Particle Filter as Mitigation to GPS Vulnerability for Navigation at Sea
Author :
Karlsson, Robert ; Gustafsson, Fredrik
Author_Institution :
Dept. of Electr. Eng., Linkoping Univ.
Abstract :
A map-aided navigation method for positioning at sea is proposed, as a supplement to satellite navigation based on the Global Positioning System (GPS). The proposed Bayesian navigation method is based on information from a radar and information from databases. For the described system, the fundamental navigation performance expressed as the Cramer-Rao lower bound (CRLB) is analyzed and an analytic solution as a function of the position is derived. As a solution to the recursive Bayesian navigation problem, the particle filter is proposed. In an extensive Monte Carlo simulation performance equals a GPS system
Keywords :
Bayes methods; Global Positioning System; Monte Carlo methods; oceanography; particle filtering (numerical methods); Bayesian navigation method; Cramer-Rao lower bound; GPS vulnerability; Global Positioning System; Monte Carlo simulation; map-aided navigation method; particle filter; satellite navigation; sea navigation; Bayesian methods; Databases; Global Positioning System; Jamming; Particle filters; Performance analysis; Satellite navigation systems; Sea measurements; Sea surface; Spaceborne radar;
Conference_Titel :
Statistical Signal Processing, 2005 IEEE/SP 13th Workshop on
Conference_Location :
Novosibirsk
Print_ISBN :
0-7803-9403-8
DOI :
10.1109/SSP.2005.1628791
