The space environment has become highly congested due to the increasing space debris,
seriously threatening the safety of orbiting spacecraft. Space-based situational awareness …

Machine learning for orbit determination of low Earth orbit (LEO) satellites in a simultaneous
tracking and navigation (STAN) framework is assessed. STAN is a navigation paradigm that …

The Poisson multi-Bernoulli mixture (PMBM) is an unlabelled multi-target distribution for
which the prediction and update are closed. It has a Poisson birth process, and new …

AIRBORNE target tracking is a key enabling technology in many civilian and military
applications, including situation awareness [1–3], vehicle monitoring [4, 5], public …

Filtering and smoothing with a generalized representation of uncertainty is considered.
Here, uncertainty is represented using a class of outer measures. It is shown how this …

This paper presents the filter for Hypothesised and Independent Stochastic Populations
(HISP), a multi-object joint detection/tracking algorithm derived from a recent estimation …

Approaching space target tracking is a typical and challenging mission in the space
situational awareness (SSA) field. As the space-based radar is able to monitor the space …

Following governmental strategies to acquire “capability to watch for objects and natural
phenomena that could harm satellites in orbit,” a number of ground-based radars (GBRs) …

Aiming to solve the optimal control problem for the pursuit-evasion game with a space non-
cooperative target under the condition of incomplete information, a new method …

The initiation of tracks for newly discovered objects presents unique challenges in space
situational awareness. Recent work explores the use of admissible regions to initialize filters …