Title :
Data processing algorithms for on-board satellite event analysis
Author :
Pinkerton, S.D. ; Koga, R. ; Katz, N.
Author_Institution :
Aerospace Corp., Los Angeles, CA, USA
Abstract :
Event rates encountered by satellite-borne sensors typically exceed the available telemetry bandwidth, necessitating on-board data analysis. One method of reducing output telemetry requirements, employed by data processing units (DPUs) on several satellites (VIKING, CRRES, CAMMICE), is to partition the underlying event parameter spaces into disjoint classes, and to downlink statistics based on these classes rather than individual events. The DPUs utilize a hardware implemented binary search algorithm to classify each valid event into one of several mass and mass per charge-state (M/Q) groups, using look-up tables written under software control. Mass and M/Q group boundaries are defined via polynomial curves in the underlying parameter spaces. The boundary curves were obtained using a combination of global and local least-squares approximation algorithms applied to preflight sensor calibration data.<>
Keywords :
aerospace computing; aerospace instrumentation; artificial satellites; least squares approximations; table lookup; telemetering systems; CAMMICE; CRRES; VIKING; binary search algorithm; boundary curves; downlink statistics; group boundaries; least-squares approximation algorithms; look-up tables; mass per charge-state; on-board data analysis; on-board satellite event analysis; polynomial curves; preflight sensor calibration; satellite-borne sensors; software control; telemetry bandwidth; Algorithm design and analysis; Bandwidth; Data analysis; Data processing; Downlink; Hardware; Partitioning algorithms; Satellites; Statistics; Telemetry;
Conference_Titel :
Nuclear Science Symposium and Medical Imaging Conference, 1991., Conference Record of the 1991 IEEE
Conference_Location :
Santa Fe, NM, USA
Print_ISBN :
0-7803-0513-2
DOI :
10.1109/NSSMIC.1991.259111
