Continuous-discrete filtering (CDF) arises in many real-world problems such as ballistic
projectile tracking, ballistic missile tracking, bearing-only tracking in 2D, angle-only tracking …

We compare the performance of the extended Kalman filter (EKF), unscented Kalman filter
(UKF), and particle filter (PF) for the angle-only filtering problem in 3D using bearing and …

This paper compares state estimation techniques for nonlinear stochastic dynamic systems,
which are important for target tracking. Recently, several methods for nonlinear state …

A filtering method called Grid Filtration Filter (GFF) is proposed based on Bayesian
inference. First, we select the high-probability region of the current state according to the …

In our previous work, we compared the performance of the extended Kalman filter (EKF),
unscented Kalman filter (UKF), and particle filter (PF) for the angle-only filtering (AOF) …

In this paper, we propose a second-order divided difference (DD2) filter for ballistic target
tracking in the re-entry phase. The DD2 filter linearizes the nonlinear dynamic and …

In this paper, we present an angle tracking algorithm based on the extended Kalman particle
filter (EKPF), called EKPF-AT, using an array of sensors with known locations. This algorithm …

This paper studies the problem of tracking a ballistic target in the reentry phase. We propose
an adaptive algorithm, strong tracking finite-difference extended Kalman filter (STFDEKF) …

In this paper, we compare several nonlinear filtering methods, namely, extended Kalman
filter (EKF), unscented filter (UF), particle filter (PF), and linear minimum mean square error …

The performance of Cubature Kalman Filter (CKF) will degrade seriously when the
theoretical model and real model are not matched due to change of target motion. To solve …