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The nonlinearity estimation is a major problem in the application of Kalman filtering. Though EKF algorithm achieves the output estimation by using approximate nonlinear function, and it enhances the application in nonlinear system to some extent, for strong nonlinear systems, the EKF still has a large estimation error. Therefore, an approximate probability density of the UKF algorithm is proposed...