Improving the Performance of the Space Surveillance Telescope as a Function of Seeing Parameter
AIR FORCE INSTITUTE OF TECHNOLOGY WRIGHT-PATTERSON AFB OH GRADUATE SCHOOL OF ENGINEERING AND MANAGEMENT
Pagination or Media Count:
This research paper investigates ways to improve the detection capability and predict the performance of the Space Surveillance Telescope SST system when its relocated to Exmouth, Australia. The dataset collected by the SST observing the Geosynchronous Earth Orbit GEO satellite, ANIK-F1, entering the earths eclipse is used to test the performance of the three existing and one new detection algorithm. The three existing algorithms are the point detection Binary Hypothesis Test BHT, correlation detection CD-BHT, and Multi-hypothesis Test using ten hypotheses MHT10, and the new detection algorithm is the Multi-hypothesis Test using six hypotheses MHT6. To improve the accuracy and validness of the comparison, a new method of obtaining the true atmospheric seeing parameter, terminator point before the object entering the eclipse, and parameters used for the comparison are also investigated. It is found that the MHTs vastly outperform the BHTs, and the MHT6 offers a similar or improved performance over the MHT10, but requiring only half of the computing power.
- Optical Detection and Detectors
- Unmanned Spacecraft
- Spacecraft Trajectories and Reentry