Publicly Available Geosynchronous (GEO) Space Object Catalog for Future Space Situational Awareness (SSA) Studies

Darin C. Koblick, California State University Long Beach and Claremont Graduate University, Praveen Shankar, California State University Long Beach, Shujing Xu, University of California San Diego

Keywords: GEO, SSA, Satellite Catalog, 2050, Projection, Modeling and Simulation

Abstract:

Previously, there have been many commercial proposals and extensive academic studies regarding ground and space based sensors to assist a space surveillance network in obtaining metric observations of satellites and debris near Geosynchronous Earth Orbit (GEO). Most use physics based models for geometric constraints, lighting, and tasker/scheduler operations of sensor architectures. Under similar physics modeling assumptions, the space object catalog is often different due to proprietary standards and datasets. Lack of catalog commonality between studies creates barriers and difficulty comparing performance benefits of sensor trades.

Date of Conference: September 19-22, 2017

Track: Poster

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