Modeling and Simulation Design for Load Testing a Large Space High Accuracy Catalog

Details Modeling and Simulation Design for Load Testing a Large Space High Accuracy Catalog Modeling and Simulation Design for Load Testing a Large Space High Accuracy Catalog

Sep 2011

adsabs.harvard.edu/cgi-bin/nph-data_query?bibcode=2011amos.confe..58g&link_type=abstract

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

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A large High Accuracy Catalog (HAC) of space objects is essential to enabling Space Situational Awareness (SSA). The Joint Space Operations Center (JSpOC) Mission System (JMS) has a requirement for a HAC that would serve as its referential foundation. The capacity of the HAC needs to support a large number of space objects (100,000+) in order to allow the effective analysis of potential space events and to allow command and control of space forces. Testing the capacity of the HAC is vital, but is complicated by the fact that the large HAC has not yet been built and the current space sensor network does not support the generation of observations for the objects that would be added to the large HAC.
We must examine the factors that affect the design of a model version of a large HAC, and the simulation of space object observations that would drive the computational load on the catalog maintenance functions of the HAC software. Synthetic objects added to the catalog must be representative of the real-world space objects that will eventually be added to the HAC when space sensor capabilities are improved. We also need to examine the various methods for generating simulated space sensor observations, and the advantages and disadvantages of each approach. The easiest approach to simulating observations is to generate them using look angle algorithms. However, this approach may have limitations due to the dependent nature of the predicted observations. Other methods examined are replication using spatial or temporal displacement of real-world observations for representative objects.
Finally, we must examine uncorrelated tracks (UCTs) and how to simulate them for HAC load testing. We would expect to see a larger number of UCTs when the space sensor network is improved. We must decide how UCTs will be handled during the load test. The number and timing of UCTs needs to be carefully selected to appropriately model this load component for the HAC maintenance function.
In all of our Modeling and Simulation selections, we must try to make design decisions that will produce the most realistic HAC for testing. Load testing will give us the confidence that the hardware and software created for HAC development and maintenance will support the task as we add objects to the catalog over the coming years.

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