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

To ensure the secure operation of space assets, it is crucial to employ ground and/or space-
based surveillance sensors to observe a diverse array of anthropogenic space objects …

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 fading factor exerts a significant role in the strong tracking idea. However, traditional
fading factor introduction method hinders the accuracy and robustness advantages of …

To overcome the IMM algorithm is easy divergence and low tracking accuracy when dealing
with complex maneuvering situations, this paper proposes an improved interactive multiple …

The maintenance of a catalog of space objects is integral for Space Surveillance and
Tracking (SST). In order to enable safe space operations, this catalog shall be complete …

The state space representation of active resident space objects can be posed in the form of
a stochastic hybrid system. Satellite maneuvers may be accounted for according to control …

The main source of potential new object detections during Resident Space Object (RSO)
cataloging activities are maneuvers of operational satellites. Maneuver detection and …

The Unscented Kalman Filter (UKF) stands out as a versatile and dynamic algorithm,
celebrated for its prowess in estimating the states of nonlinear dynamical systems within …

Orbital maneuver detection for non-cooperative targets in space is a key task in space
situational awareness. This study develops a passive maneuver detection algorithm using …