A Probabilistic Model for Predicting the Duration of Levels of Electromagnetic Transmission in Falling Snow.

Abstract

The increasing use of short wavelengths in systems required to operate in all weather conditions under battlefield environments requires that a commander in the field be able to predict the performance of these systems in the short term. A particular problem is the performance of millimeter and micrometer wavelengths in falling snow. This report presents a predictive model based on the assumption that the transmission like the snowfall intensity, behaves as a Markov chain. The model was developed from data acquired during the SNOW-ONE-A field program, and was tested for a hypothetical weapon system operating in the 8-12 micrometer band. The agreement of theory with measurements is excellent, but the model requires further testing on actual systems. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Feb 03, 1984
Accession Number
ADA143318

Entities

People

  • R. M. Dyer

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Atmospheric Sciences
  • Computer Programming
  • Computer Programs
  • Computers
  • Data Science
  • Frequency
  • Intensity
  • Mainframe Computers
  • Markov Chains
  • Measurement
  • Power Spectra
  • Predictive Modeling
  • Probabilistic Models
  • Probability
  • Statistics
  • Time Intervals

Readers

  • Mathematical Modeling and Probability Theory.
  • Optical Physics and Photonics.
  • Regression Analysis.