Optimal nonlinear filtering in GPS/INS integration

@article{Carvalho1997OptimalNF,
  title={Optimal nonlinear filtering in GPS/INS integration},
  author={H. Carvalho and P. del Moral and A. Monin and G. Salut},
  journal={IEEE Transactions on Aerospace and Electronic Systems},
  year={1997},
  volume={33},
  pages={835-850}
}
  • H. Carvalho, P. del Moral, +1 author G. Salut
  • Published 1997
  • Mathematics
  • IEEE Transactions on Aerospace and Electronic Systems
  • 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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    References

    Publications referenced by this paper.
    SHOWING 1-10 OF 31 REFERENCES
    Novel approach to nonlinear/non-Gaussian Bayesian state estimation
    • 7,199
    • PDF
    The GPS filtering problem
    • 13
    Stochastic Processes and Filtering Theory
    • 5,430
    An Introduction to Signal Detection and Estimation
    • H. Poor
    • Mathematics, Computer Science
    • 1994
    • 3,784
    Multiconfiguration Kalman filter design for high-performance GPS navigation
    • 31
    Autonomous GPS/INS navigation experiment for space transfer vehicle
    • 47
    Inertial navigation systems analysis
    • 453
    Stochastic Filtering Theory
    • 645
    Achieving modularity with tightly-coupled GPS/INS
    • 22