Measuring NAVSPASUR Sensor Performance using Logistic Regression Models
NAVAL POSTGRADUATE SCHOOL MONTEREY CA
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Since its establishment the Naval Space Surveillance Command NAVSPASUR in Dalhgren Virginia has been providing surveillance data NAVSPASUR data sets for thousands of space objects in a near earth orbit. To date, very little statistical analysis of these data sets in the form of a system performance evaluation has been conducted. The objective of this thesis is to provide NAVSPASUR with a statistical method to evaluate the system performance in terms of its capability of detecting space objects. In this thesis six individual station models, as well as a system-wide model are estimated. Optimal probability levels for classifying predictions are additionally provided. The results being provided are obtained through the implementation of Logistic Regression analysis. The system-wide model estimated in this thesis, is superior in its prediction accuracy when compared to the previous model provided to NAVSPASUR in a September 1991, Naval Postgraduate School Masters Thesis. Finally an implementation program written in FORTRAN is given. This program provides a user friendly interface capability for predicting system performance in terms of its detection ability.
- Celestial Mechanics
- Electrical and Electronic Equipment
- Statistics and Probability
- Miscellaneous Detection and Detectors