Description: This paper proposes a maneuver target model: the initial phase of the uniform linear, uniform circular motion stage, returning to uniform linear stage, and the size of the line speed v remaining unchanged in this process. The extended Kalman filter (EKF) was used to track position, and simulation results show that the model is in line with the actual motor and easy to deal with the mathematics. The algorithm is stable and has rapid convergence rate and high positioning accuracy to improve the accuracy of the mobile target tracking and real
- [final] - IMM filter matlab program, which is to d
- [ekfslam_v2.0] - The New Version of SLAM code using Exten
- [MotionDetection] - a paper related to motion detection algo
- [camkal] - Camshift Kalman and the combination of s
- [EKF_UKF_comparison] - This code is for the UKF and EKF simulat
- [7-14] - Kalman filter to achieve good tracking m
- [UKFa] - matlab implementation of an unscented Ka
- [pf_colortracker] - This code for a target tracking program,
- [EKF1dim] - ekf object tracking
File list (Check if you may need any files):
mechanicalmodel\ok\ekf_error.mat
...............\..\EKF_update.m
...............\..\KF_update_cholesky.m
...............\..\KF_update_IEKF.m
...............\..\KF_update_joseph.m
...............\..\KF_update_simple.m
...............\..\main_ekf_filter.asv
...............\..\main_ekf_filter.m
...............\..\multivariate_gauss_noise.m
...............\..\numerical_Jacobian.m
...............\..\pi_to_pi.m
...............\..\reference.m
...............\..\reference.mat
...............\..\sigma_ellipse.m
...............\ok
mechanicalmodel
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