文件名称:matlab_ukf_utilities
介绍说明－－下载内容均来自于网络，请自行研究使用
卡尔曼滤波的一个典型实例是从一组有限的，对物体位置的，包含噪声的观察序列预测出物体的坐标位置及速度. 在很多工程应用(雷达, 计算机视觉)中都可以找到它的身影. 同时，卡尔曼滤波也是控制理论以及控制系统工程中的一个重要话题.
比如,在雷达中,人们感兴趣的是跟踪目标,但目标的位置,速度,加速度的测量值往往在任何时候都有噪声.卡尔曼滤波利用目标的动态信息,设法去掉噪声的影响,得到一个关于目标位置的好的估计。
-kalman ukf matlab
比如,在雷达中,人们感兴趣的是跟踪目标,但目标的位置,速度,加速度的测量值往往在任何时候都有噪声.卡尔曼滤波利用目标的动态信息,设法去掉噪声的影响,得到一个关于目标位置的好的估计。
-kalman ukf matlab
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下载文件列表
matlab_ukf_utilities\chi_square_bound.m
....................\chi_square_density.m
....................\chi_square_mass.m
....................\chi_square_to_gauss.m
....................\Contents.m
....................\demo_bearing_only.m
....................\demo_chi_square.m
....................\demo_ekf_filter.m
....................\demo_kmeans.m
....................\demo_particle_filter.m
....................\demo_unscented_filter.m
....................\distance_bhattacharyya.m
....................\distance_KLD.m
....................\distance_KLD_symmetric.m
....................\distance_mahalanobis.m
....................\distance_normalised.m
....................\dist_sqr.m
....................\dist_sqr_.m
....................\dist_sqr_v2.m
....................\EKF_update.m
....................\ellipse_mass.m
....................\ellipse_sigma.m
....................\gauss_evaluate.m
....................\gauss_likelihood.m
....................\gauss_regularise.m
....................\gauss_samples.m
....................\index_table.m
....................\inv_posdef.m
....................\KF_update.m
....................\KF_update_cholesky.m
....................\KF_update_IEKF.m
....................\KF_update_joseph.m
....................\KF_update_simple.m
....................\kmeans.m
....................\line_plot_conversion.m
....................\multivariate_gauss.m
....................\notes.txt
....................\numerical_Jacobian.m
....................\pi_to_pi.m
....................\readme.txt
....................\repcol.m
....................\reprow.m
....................\repvec.m
....................\sample_mean.m
....................\sample_mean_weighted.m
....................\sigma_ellipse.m
....................\sqrt_posdef.m
....................\stratified_random.m
....................\stratified_resample.m
....................\transform_to_global.m
....................\transform_to_relative.m
....................\uniform_random.m
....................\unscented_transform.m
....................\unscented_update.m
matlab_ukf_utilities
....................\chi_square_density.m
....................\chi_square_mass.m
....................\chi_square_to_gauss.m
....................\Contents.m
....................\demo_bearing_only.m
....................\demo_chi_square.m
....................\demo_ekf_filter.m
....................\demo_kmeans.m
....................\demo_particle_filter.m
....................\demo_unscented_filter.m
....................\distance_bhattacharyya.m
....................\distance_KLD.m
....................\distance_KLD_symmetric.m
....................\distance_mahalanobis.m
....................\distance_normalised.m
....................\dist_sqr.m
....................\dist_sqr_.m
....................\dist_sqr_v2.m
....................\EKF_update.m
....................\ellipse_mass.m
....................\ellipse_sigma.m
....................\gauss_evaluate.m
....................\gauss_likelihood.m
....................\gauss_regularise.m
....................\gauss_samples.m
....................\index_table.m
....................\inv_posdef.m
....................\KF_update.m
....................\KF_update_cholesky.m
....................\KF_update_IEKF.m
....................\KF_update_joseph.m
....................\KF_update_simple.m
....................\kmeans.m
....................\line_plot_conversion.m
....................\multivariate_gauss.m
....................\notes.txt
....................\numerical_Jacobian.m
....................\pi_to_pi.m
....................\readme.txt
....................\repcol.m
....................\reprow.m
....................\repvec.m
....................\sample_mean.m
....................\sample_mean_weighted.m
....................\sigma_ellipse.m
....................\sqrt_posdef.m
....................\stratified_random.m
....................\stratified_resample.m
....................\transform_to_global.m
....................\transform_to_relative.m
....................\uniform_random.m
....................\unscented_transform.m
....................\unscented_update.m
matlab_ukf_utilities