Detailed Component Design for a Compact Environmental Anomaly Sensor (CEASE)

Abstract

As the size and sophistication of spacecraft have increased, anomalies in operational performance caused by the interaction of the energetic- particle population and the spacecraft have likewise increased. The Compact Environmental Anomaly Sensor (CEASE) is being developed as a small, low-power device to monitor space weather and provide autonomous warning of conditions that could cause operational anomalies. Based on the sensor-design and trade-off studies for CEASE, a dosimeter set consisting of solid-state detectors behind aluminum absorbers (of several thicknesses) has been chosen. The outputs of the detectors are fed into algorithms that warn of certain anomalies: (1) surface dielectric charging, (2) deep dielectric charging, (3) total radiation dose behind 0.035 g/cm to the 2nd power, (4) total dose behind 0.41 g/cm to the 2nd power, and (5) single event upsets. From seven quantities derived by algorithm processing, eight warning levels (1, 3, 100...3000 x base) are obtained for each of the five anomalies. Level flags can then be selected for a particular application. For such a CEASE instrument, we estimate a volume of 64 in to the 3rd power (4-inch cube), a weight of 2 pounds, and power dissipation of 2 watts.

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Document Details

Document Type
Technical Report
Publication Date
Nov 16, 1992
Accession Number
ADA261729

Entities

People

  • Alan C. Huber
  • David Sperry
  • John A. Pantazis
  • John O. Mcgarity
  • Paul Okun

Tags

Communities of Interest

  • Advanced Electronics
  • Energy and Power Technologies
  • Space

DTIC Thesaurus Topics

  • Algorithms
  • Amplifiers
  • Application-Specific Integrated Circuits
  • Charged Particles
  • Circuit Boards
  • Detectors
  • Dielectrics
  • Dose Rate
  • Dosimeters
  • Dynamic Range
  • Electron Flux
  • Elements
  • Measurement
  • Radiation
  • Semiconductor Devices
  • Semiconductors
  • Space Environments

Fields of Study

  • Physics

Readers

  • Distributed Systems and Data Platform Development
  • Electrical Engineering
  • Mathematics or Statistics

Technology Areas

  • Space
  • Space - Satellites
  • Space - Space Objects