Application of SPKF in Deformation Data Analysis

In this paper a new estimation method is proposed,which takes advantage of the Sigma Point Transformation method thus approximating the true mean and variance more accurately.The new method can be applied to non-linear systems without the linearization process necessary for the Extended Kalman Filter(EKF),and it does not demand a Gaussian distribution of noise and what's more,its ease of implementation and more accurate estimation features enables it to demonstrate its good performance in the experiment of deformation monitoring.Numerical experiments show that the application of the Sigma Point Kalman Filter in deformation prediction is more effective than that of the EKF.