A Satellite Anomaly Detection System that Uses Signatures from the Space-Surveillance Network of Sensors.
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.
Document Details
- Document Type
- Technical Report
- Publication Date
- Sep 07, 1995
- Accession Number
- ADA298814
Entities
People
- J. S. Stuart
- John W. Curtis
- Richard C. Raup
Organizations
- Massachusetts Institute of Technology