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Data Processing Algorithms for On-Board Satellite Event Analysis
AEROSPACE CORP EL SEGUNDO CA TECHNOLOGY OPERATIONS
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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 recent and forthcoming 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 MQ groups, using look-up tables written under software control. Mass and MQ 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 pre-flight sensor calibration data. Data processing unit, On-board data analysis, Least-squares approximation, Satellite-borne sensors.
APPROVED FOR PUBLIC RELEASE