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- W2364443289 abstract "Three nonlinear estimation methods are introduced,which are Extended Kalman Filter(EKF),Particle Filter(PF) and Regularized Particle Filter(RPF).We present the general principle of these algorithms and compare the differences among them.When EKF is applied to dealing with real-time estimation of dynamic system,such as target tracking,here is estimation error due to the defects of EKF in nonlinear estimation,which affects the accuracy of target tracking.PF does not require the probability distribution on the system noise and measurement noise.RPF is an improved particle filter algorithm.Experiment results show that the estimation precision of PF is better than that of EKF,but they are both poorer than RPF on estimation precision and calculation capacity.And with the increase of the number of particles,the estimation precision of PF and RPF will become better." @default.
- W2364443289 created "2016-06-24" @default.
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- W2364443289 date "2010-01-01" @default.
- W2364443289 modified "2023-09-23" @default.
- W2364443289 title "Research on Several Nonlinear Filtering Algorithms in Target Tracking" @default.
- W2364443289 hasPublicationYear "2010" @default.
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