List of Tables
4.1 Procedure for Generating a Vector of DIFAR Noisy Bearing
6.1 Linear Kalman Filter Process.
7.1 One-Dimensional Extended Kalman Filter Process
7.2 Multidimensional Extended Kalman Filter Process.
8.1 One-Dimensional Finite Difference Kalman Filter Process.
8.2 Multidimensional Finite Difference Kalman Filter Process.
9.1 Multidimensional Unscented Kalman Filter Process.
9.2 Multidimensional Sigma Point Kalman Filter Process Applied to DIFAR Tracking.
10.1 Multidimensional Spherical Simplex Kalman Filter Process.
11.1 Multidimensional Gauss--Hermite Kalman Filter Process.
12.1 Multidimensional Spherical Simplex Kalman Filter Process.
13.1 Summary Data for Sigma Point Kalman Filters: Part 1—Form of c to Be Used for Sigma Points.
13.2 Summary Data for Sigma Point Kalman Filters: Part 2—Form of Sigma Point Weights.
13.3 Comparison of the Number of Integration Points Required for the Various Sigma Point Kalman Filters.
13.4 Hierarchy of Dynamic and Observation Models.
15.1 Common Univariate Kernel Functions of Order 2.
15.2 One-Dimensional Kernel Sample Generation.
15.3 Multidimensional Kernel Sample Generation.
16.1 General Sequential Importance Sampling Particle Filter.
16.2 Sequential Importance Sampling Particle Filter with Resampling.
16.3 Sequential Importance Sampling Particle Filter with Resampling and Regularization.
16.4 Bootstrap SIS Particle Filter with Resampling and Regularization.
16.5 Optimal SIS Particle Filter with Resampling ...
