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.

Report Date:

1992-09-01

Pagination or Media Count:

70.0

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 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.

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