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 tracking of space objects poses unique challenges when compared to traditional
applications. Direct application of standard multi-target tracking models fails to yield …

Realistic decision-making often occurs with insufficient time to gather all possible evidence
before a decision must be rendered, requiring an efficient process for prioritizing between …

As a result of the dependence worldwide on satellite technology, it is now necessary to use
advanced multi-target tracking algorithms for space debris tracking systems to maintain …

To maintain custody of the increasing number of detectable objects in Earth orbit, tracking
systems require robust methods of multi-target state estimation and prediction. One …

The space object catalog provides orbital state and characteristic information of space
objects for critical applications in space situational awareness. Maintaining accurate states …

Current state-of-the-art sensor tasking for space situational awareness is human-analyst
intensive, reactive, and individualized for specific sensors. In application, there are many …

Abstract Space Domain Awareness (SDA) is the actionable knowledge required to predict,
avoid, deter, operate through, recover from, and/or attribute cause to the loss and/or …

In the context of Space Surveillance and Tracking the observations provided by a network of
sensors are processed and used to maintain a catalogue of orbital elements. The build-up of …