Accession Number : ADA298814
Title : A Satellite Anomaly Detection System that Uses Signatures from the Space-Surveillance Network of Sensors.
Descriptive Note : Technical rept.,
Corporate Author : MASSACHUSETTS INST OF TECH LEXINGTON LINCOLN LAB
Personal Author(s) : Raup, Richard C. ; Stuart, J. S. ; Curtis, John W.
PDF Url : ADA298814
Report Date : 07 SEP 1995
Pagination or Media Count : 70
Abstract : Lincoln Laboratory has developed a capability to assess and monitor the status of high earth orbit (HEO) satellites using simple radar derived satellite target signatures. The capability takes the form of a computer workstation that processes, stores, and retrieves HEO satellite signatures and associated data products. The important sensor phenomena, signal and data processing algorithms, software architecture, and concept of operations are all described in this report. The system was designed and tested using L band radar data, but will accept other narrowband radar data and photometric data as well. Signal and data processing algorithms are based on statistical modeling and methods. The amount of cross section fluctuation in each signature is measured as a function of various independent observation variables. The fluctuation measurements are first used to characterize the normal operation of the satellite and then to provide a basis for automatic detection of anomalies. Thus changes in satellite status that manifest changes in the apparent stability of the satellite are detected by the system. The algorithms are embedded in a network transparent UNIX software architecture with an MIT X Windows and Motif interface. The software for the system can be used on any UNIX platform with little or no modification. The basic facility may consist of one or more contributing radars or photometric sensors, a data processing center, and one or more analysis centers. These facility elements need not reside at the same location because the software may be distributed among several computing platforms at diverse geographical locations. Signal processing, data processing, database management, and anomaly detection are automated, while database retrieval has both an automated mode for sensor control room displays and an interactive mode for data analysis.
Descriptors : *SPACE SURVEILLANCE, *RADAR CROSS SECTIONS, *RECONNAISSANCE SATELLITES, COMPUTER PROGRAMS, DATA BASES, MATHEMATICAL MODELS, ALGORITHMS, SIGNAL PROCESSING, DATA PROCESSING, ANOMALIES, MEASUREMENT, STABILITY, AUTOMATION, DETECTION, DATA MANAGEMENT, EARTH ORBITS, INTERACTIONS, COMPUTER ARCHITECTURE, CONTROL CENTERS, DISPLAY SYSTEMS, INFORMATION RETRIEVAL, STATISTICAL ANALYSIS, RADAR SIGNALS, MULTISENSORS, RADAR SIGNATURES, NARROWBAND, PHOTOMETRY, L BAND.
Subject Categories : Active & Passive Radar Detection & Equipment
Distribution Statement : APPROVED FOR PUBLIC RELEASE