The overall goal of this work is to enhance space situational awareness of objects in the high value regions of space populated by GEO-belt communications and Earth-observation satellites. By tailoring estimation methods for these regions, we seek to improve the potential for ground-based telescopes to return to, precisely track known objects, and to detect and characterize new objects that appear in their field of view. Use of a GEO element set is shown to allow full accuracy with linearized propagation and measurement updates. This state representation is then implemented in a CPHD algorithm to estimate the motion of a simulated cluster of five satellites sharing a geostationary orbit slot.
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