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- W2370152022 abstract "In view of the problem that there exist some defects when the extended Kalman filter(EKF) is employed in the land vehicl deareckoning (DR) navigation a novel method-unscented Kalman filtering(UKF) is applied in the nonliner state estimation of the land vehicle dead reckoning (DR) navigation. Compared with the EKF, the UKF has the characteristics of easier realization and higher state estimation accuracy. Through nonlinear state estimation, the UKF can improve the accuracy of the DR system greatly. In order to test the validity of the UKF, the two methods are used to estimate states of the land vehicle DR navigation system. Simulation results show that the UKF is superior to the EKF and is an ideal nonlinear filtering method in the land vehicle DR navigation." @default.
- W2370152022 created "2016-06-24" @default.
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- W2370152022 date "2005-01-01" @default.
- W2370152022 modified "2023-09-25" @default.
- W2370152022 title "Study on nonlinear filtering method for land vehicle DR navigation" @default.
- W2370152022 hasPublicationYear "2005" @default.
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