Learning-based Approaches to Resilient Satellite Navigation and Timing

As space domain together with its increasing mission complexity evolves, it is now more important than ever for autonomous space assets be equipped with onboard navigation and timing that are resilient in operationally challenged and/or degraded GPS environments. In this topic, both theoretical and practical fronts of nonlinear, nonstationary-based signal decomposition approaches are cornerstones for the realization of environmental sensing, where feature extractions are adapted in responding to ubiquitous kinds of signals, inclu...