Assessment of Spacecraft Operational Status Using Electro-Optical Predictive Techniques

Details Assessment of Spacecraft Operational Status Using Electro-Optical Predictive Techniques Assessment of Spacecraft Operational Status Using Electro-Optical Predictive Techniques

Sep 2010

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2010amos.confe..71s&link_type=abstract

Proceedings of the Advanced Maui Optical and Space Surveillance Technologies Conference, held in Wailea, Maui, Hawaii, September

Computer Science

Performance

Scientific paper

The current class of small satellite systems presents an analyst responsible for monitoring spacecraft operational status and early detection of detrimental anomalies with a broad variety of sensing and identification issues and challenges. Simple, small, cube-shaped satellites, without protruding solar panel appendages, may require enhanced preflight characterization processes to support monitoring by passive, remote, nonimaging optical sensors.
This paper will describe spacecraft optical signature modeling and simulation techniques to develop sensing and identification algorithms for observing and characterizing key spacecraft features. The simulation results are based on electro-optical signatures apparent to nonimaging sensors, along with related observable features derived from multicolor and multiviewing aspect scenarios. This model and simulation analysis capability is used to support programs to monitor spacecraft performance status and identify anomalies associated with spacecraft damage/deterioration due to space debris or micrometeorite impact, thruster exhaust deposition or material aging.
The development of state-of-the-art optical signature modeling tools to perform high-fidelity satellite models (such as the Air Force Academy FalconSat-5 or AFRL TacSat-3) simulations to characterize spectral radiant intensities apparent to passive, remote, nonresolved imaging sensors are described in detail. Simulations are performed for a comprehensive scenario range of natural (solar and earth) illumination and viewing conditions. Results are generated for comparing baseline, streamlined geometry models with the actual higher fidelity models that capture vehicle small-size hardware components and modifications.
Output consisting of radiant intensity history apparent to ground-based sensor locations for vehicle trajectories that capture a comprehensive range of illumination conditions from the sun and underlying earth scene are presented for extensive spectral band coverage spanning the electro-optical spectrum from visible wavelengths through extended long-wave infrared. The analysis of selected results is summarized with the perspective of developing future generation sensing and identification algorithms.

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