Aerospace Propagation Media Modelling and Prediction Schemes for Modern Communications, Navigation, and Surveillance Systems.

Abstract

The Lecture Series will review modelling and prediction topics which have been presented at a number of meetings of the AGARD Electromagnetic Wave Propagation Panel in the last few years. Modelling and Prediction Schemes of the aerospace radio and optical propagation environment based on media characterization have become essential to meet requirements of operational accuracies in communication, navigation, and surveillance in military and civilian systems. The lectures include the following topics: general modelling and prediction schemes; aerospace (atmosphere, ionosphere, and the space environment) media-characterization; short-and-long-term prediction techniques across the RF and optical spectrum and agreement with observational data; detection and communications through scattering channels; adaptability of prediction techniques to radio and optical communication, navigation and surveillance systems operating in the aerospace environment; and effects of geophysical disturbances on the state of the media andtheir predictability. The material in this publication was assembled in support of a Lecture Series under the sponsorship of the Electromagnetic Wave Propagation Panel and the Consultant and Exchange Programme of AGARD. (Author)

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1979
Accession Number
ADA071130

Entities

Organizations

  • AGARD

Tags

Communities of Interest

  • Energy and Power Technologies
  • Ground and Sea Platforms
  • Space

DTIC Thesaurus Topics

  • Artificial Satellites
  • Chemistry
  • Climate Change
  • Communication Systems
  • Computational Science
  • Electromagnetic Metamaterials
  • Electromagnetic Radiation
  • Electromagnetic Wave Propagation
  • Fresnel Zones
  • Magnetic Storms
  • Operating Systems
  • Quantum Yields
  • Radio Waves
  • Refraction
  • Refractive Index
  • Scattering
  • Wave Propagation

Readers

  • Aerospace Engineering.
  • Theoretical Analysis.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML
  • Space