Accession Number : ADA257508


Title :   Measuring NAVSPASUR Sensor Performance using Logistic Regression Models


Descriptive Note : Master's thesis


Corporate Author : NAVAL POSTGRADUATE SCHOOL MONTEREY CA


Personal Author(s) : Roberts, Brook R


Full Text : https://apps.dtic.mil/dtic/tr/fulltext/u2/a257508.pdf


Report Date : Sep 1992


Pagination or Media Count : 70


Abstract : 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 Master's 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.


Descriptors :   *ORBITS , *DETECTION , *EARTH ORBITS , *SPACE SURVEILLANCE , *SPACE OBJECTS , STATIONS , PREDICTIONS , MODELS , INTERFACES , PROBABILITY , ACCURACY , THESES , REGRESSION ANALYSIS , FORTRAN , LOGISTICS , STATISTICAL ANALYSIS , SURVEILLANCE


Subject Categories : Astronomy
      Celestial Mechanics
      Electrical and Electronic Equipment
      Statistics and Probability
      Miscellaneous Detection and Detectors


Distribution Statement : APPROVED FOR PUBLIC RELEASE