Dispersed and disparate sensor management for tracking low earth orbit satellites
Aleksandar Zatezalo, Adel I. El-Fallah, Ronald Mahler, R.К. Mehra, J. Brown · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2009
Optimal sensor management of dispersed and disparate sensors for tracking Low Earth Orbit (LEO) objects presents a daunting theoretical and practical challenge since it requires the optimal utilization of different types of sensors and platforms that include Ground Based Radars (GBRs) positioned throughout the globe, and the Space Based Visible (SBV) sensor on board LEO platforms. We derive and demonstrate new computationally efficient algorithms for multisensor-multiobject tracking of LEO objects. The algorithms are based on the Posterior Expected Number of Objects as the sensor management objective function, observation models for the sensors/platforms, and the Probability Hypothesis Density Particle Filter (PHD-PF) tracker.