Orbital uncertainty propagation plays an important role in space situational awareness
related missions such as tracking and data association, conjunction assessment, sensor …

Since the landmark work of RE Kalman in the 1960s, considerable efforts have been
devoted to time series state space models for a large variety of dynamic estimation …

This article presents an up-to-date tutorial review of nonlinear Bayesian estimation. State
estimation for nonlinear systems has been a challenge encountered in a wide range of …

From the celebrated Gaussian mixture, model averaging estimators to the cutting-edge multi-
Bernoulli mixture of various forms, finite mixture models offer a fundamental and flexible …

In this correspondence, the authors develop a novel method based on spherical radial
cubature and Gauss–Laguerre quadrature rule for non‐linear state estimation problems …

This paper presents a computationally efficient approach to evaluate multidimensional
expectation integrals. Specifically, certain nonproduct cubature points are constructed that …

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

This paper offers a solution to the attitude estimation of small satellite with the existence of
model error and heavy-tailed noise, which is referred as to the Laplace ℓ 1 Huber Based …

Multi-Gas source localization and mapping is a challenging problem because multiple
measurements must be taken to ensure accurate localization. This paper presents a novel …

This paper is motivated by the filtering estimation for a class of nonlinear stochastic systems
in the case that the measurements are randomly delayed by one sampling time. Through …