Data Processing Algorithms for On-Board Satellite Event Analysis

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 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 (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 pre-flight sensor calibration data. Data processing unit, On-board data analysis, Least-squares approximation, Satellite-borne sensors.

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Document Details

Document Type
Technical Report
Publication Date
Jan 30, 1994
Accession Number
ADA278406

Entities

People

  • N. Katz
  • Rokutano Koga
  • S. D. Pinkerton

Organizations

  • The Aerospace Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space

DTIC Thesaurus Topics

  • Abstracts
  • Air Force
  • Algorithms
  • Artificial Satellites
  • Bandwidth
  • Boundaries
  • Calibration
  • Calorific Value
  • Chemical Reactions
  • Data Analysis
  • Data Processing
  • Detectors
  • Energy
  • Mechanics
  • Space Systems
  • Spacecraft
  • Telemetry

Readers

  • Aerospace Test and Evaluation
  • Regression Analysis.
  • Space/Atmospheric Physics.

Technology Areas

  • Space
  • Space - Satellites