A Preliminary Study on the Use of the Ultraviolet Exhaust Plumes of the ICBMS for Launch Detection

Abstract

The purpose of this thesis was to conduct preliminary research in to the use of the ultraviolet plumes of ICBMs for launch detection. The thrust of ths research was in an effort to exploit the middle UV (200-300 nm) for launch detection and possible tracking. Specifically, this thesis reviewed the current open literature on the UV signatures of ICBMs, current ultraviolet background data, the state of UV detector technology, and simple sensor design considerations. From these investigations a baseline sensor system was assumed which was compatible with existing technology. Using the baseline sensor system, representative target intensities and background radiances, first order signal-to-noise calculations were performed. The results of these calculations revealed that the current state of UV detector technology and the magnitude of representative plume intensities are sufficient to allow for ICBM detection from a geosynchronous sensor system. However, because of the UV target signal absorption by the ozone layer, adequate SNR can not be maintained below approximately 40-50 km. these results indicate that further study into this problem is warranted and several recommendations are included for consideration. (KR)

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Document Details

Document Type
Technical Report
Publication Date
Nov 01, 1986
Accession Number
ADA213224

Entities

People

  • Stuart D. Williams

Organizations

  • Air Force Institute of Technology

Tags

Communities of Interest

  • Sensors
  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Ballistic Missiles
  • Chemical Reactions
  • Chemical Synthesis
  • Chemistry
  • Computer Programs
  • Detection
  • Detectors
  • Electromagnetic Radiation
  • Exhaust Plumes
  • Geosynchronous Satellites
  • Intercontinental Ballistic Missiles
  • Optics
  • Propulsion Systems
  • Remote Sensing
  • Ultraviolet Detectors
  • Warning Systems

Readers

  • Astronomy/Astrophysics
  • Atmospheric Remote Sensing.
  • Systems Analysis and Design