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Global coordinate, absolute coordinate and local vehicle coordinate to describe the vehicle running states were established respectively, and relationship among state parameters in different coordinates was studied. Seven degree-of-freedom (DOF) vehicle model was set up to be used for dynamic estimation based on extended Kalman filter (EKF). Fusion estimation based on correction of global information...
A vehicle motion state estimation model is established based on the millimetre wave radar. The system noise and observation noise are considered and the Kalman filtering algorithm is adopted to estimate the relative distance, relative velocity and relative acceleration of the front vehicle or obstacles. The collision risk model based on the improved TTC (time-to-collision) is established according...
Weather hazard has been one of major sources in flight accidents and often leads to injuries. According to a flight accident report of the U.S. Federal Aviation Administration (FAA), close to 20% of accidents were caused by weather hazard [FAA, 2009]. In this study, the FDR data from a flight accident affected by cross wind have been processed. Firstly, the Extended Kalman Filter (EKF) was applied...
A state space approach for the modeling of nonstationary time series is presented. Based on the concept of smoothness priors constraint, the overall model is fitted by using the Kalman filler and Akaike's AIC criterion. Whenever an autoregressive (AR) model with time-varying coefficient is fitted in state space model, it can be used for the time-varying spectrum estimation. Some numerical results...
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