Detection and tracking of LEO collision events using space-based sensors

In this paper we present collision event modeling, detection, and tracking using a space-based Low Earth Orbit (LEO) EO/IR constellation of platforms. The implemented testbed is based on our previous work on dispersed and disparate sensor management for tracking Space Objects (SOs). The known SOs' LEO trajectory parameters are tracked by using a first order state perturbation model, and the estimates are updated using Monte Carlo sampling techniques. Using multi-hypothesis testing we estimate if the tracked RSO is on a collision trajectory with a satellite. Trajectories that can lead to a collision are then constantly observed and tracked using observations from EO/IR sensors located on LEO platforms. The developed algorithms are tested and evaluated on a simulated testbed. Open problems and future work are discussed.