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Optimal nonlinear filtering in GPS/INS integration

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4 Author(s)
Carvalho, H. ; Lab. d''Autom. et d''Anal. des Syst., CNRS, Toulouse, France ; Del Moral, P. ; Monin, A. ; Salut, G.

The application of optimal nonlinear/non-Gaussian filtering to the problem of INS/GPS integration in critical situations is described. This approach is made possible by a new technique called particle filtering, and exhibits superior performance when compared with classical suboptimal techniques such as extended Kalman filtering. Particle filtering theory is introduced and GPS/INS integration simulation results are discussed.

Published in:
Aerospace and Electronic Systems, IEEE Transactions on  (Volume:33 ,  Issue: 3 )

Date of Publication: July 1997

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