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.


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    Title :

    Optimal nonlinear filtering in GPS/INS integration


    Contributors:
    Carvalho, H. (author) / Del Moral, P. (author) / Monin, A. (author) / Salut, G. (author)


    Publication date :

    1997-07-01


    Size :

    1796908 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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