Unresolved Resident Space Object Characterization Using Time-Frequency Analysis

Applied Optimization, Inc., in working with Boeing-LTS and Space Dynamics Laboratory, proposes to demonstrate that full-feature characterization of small and faint unknown RSO in real-time is feasible by using the spectral-temporal features of its signature. Time-resolved spectrometer data in the visible or infrared will be considered as the input. In addition to enhancing existing methods for RSO classification and characterization, we propose to identify new time-frequency methods based on the use of Radon transform and convex inversion techniques. Utility of a data catalog for RSO time-frequency behavior will be demonstrated by the comparing the ability for RSO characterization and anomaly detection with and without the use of the catalog. A verification plan will be prepared using historical data, leveraging RSO observations from other USAF programs, and new data collections.