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- W2367644089 abstract "As a new nonlinear filtering method,UKF(unscented Kalman filter) is applied in target tracking,which directly uses nonlinear models in the time-update phase.As a result,no error caused by linearization is introduced.Moreover,it is unnecessary to calculate the Jacobians matrix.Compared with the EKF(extended Kalman filter),the UKF not only can improve the precision of filtering,but also can be realized easily.The theory and algorithm of the unscented Kalman filter based on square root decomposition(SRD-UKF) are introduced in this paper,and the square root forms have the added benefit of numerical stability and guaranteed positive semi-definiteness of the state covariances.By a BOT experiment,the simulation results show that the estimation performance of the SRD-UKF is better than UKF and PF." @default.
- W2367644089 created "2016-06-24" @default.
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- W2367644089 date "2007-01-01" @default.
- W2367644089 modified "2023-09-23" @default.
- W2367644089 title "Applications of Unscented Kalman Filter Based on Square Root Decomposition to Target Tracking" @default.
- W2367644089 hasPublicationYear "2007" @default.
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