Time-Series Modeling and Analysis of High Frequency (HF) Vertical and Short-Path Oblique Incidence Ionospheric Soundings.

Abstract

One example of a non-stationary physical process that influences communications systems can be derived from a millimeter wave link operating over a stable line-of-sight path. Such a system would encounter a rapid change in its propagation path if a heavy rainstorm suddenly disturbed the link. Another example is derived from the adverse effects on high frequency radio communications caused by sudden variations in the ionosphere. Due to the random nature of these phenomena, and due to the time-dependence of experimental information, a logical approach to forecasting these phenomena and interpreting the results seems to lie within the realm of non-stationary time-series modeling. Considering the premise that communications operational effectiveness is dependent on environmental effects, a procedural approach is recommended for characterizing ionospheric effects on High Frequency (HF) Communications utilizing time-series modeling. The recommended technique stresses the structuring of the appropriate difference equations through the criterion of minimum residual variance.

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Document Details

Document Type
Technical Report
Publication Date
Jul 01, 1978
Accession Number
ADA058630

Entities

People

  • Richard J. D'accardi

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Data Mining
  • Data Science
  • Difference Equations
  • Equations
  • Frequency
  • Information Science
  • Ionosphere
  • Knowledge Management
  • Lead Time
  • Measurement
  • Power Spectra
  • Probability
  • Random Variables
  • Stationary Processes
  • Statistical Algorithms
  • Statistical Analysis
  • Stochastic Processes

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Computational Modeling and Simulation
  • Space/Atmospheric Physics.

Technology Areas

  • 5G
  • 5G - Internet of Things