HiRadProp: High-Frequency Modeling and Prediction of Tropospheric Radiopropagation Parameters from Ground-Based-Multi-Channel Radiometric Measurements between Ka and W Band

Abstract

Sun-tracking microwave radiometry is a ground-based technique where the Sun is used as a beacon source. The atmospheric antenna noise temperature is measured by alternately pointing toward-the-Sun and off-the-Sun according to a beam switching strategy. By properly developing an adhoc processing algorithm, we can estimate the atmospheric path attenuation in all-weather conditions. A theoretical framework is proposed to describe the Sun-tracking radiometric measurements and to evaluate the overall error budget. Two different techniques, based respectively on elevation-scanning Langley method and on surface meteorological data method, are proposed and compared to estimate the clear-air reference. Application to available Sun-tracking radiometric measurements at Ka, V and W band in Rome (NY, USA) is shown and discussed together with the test of new physically-based prediction models for all-weather path attenuation estimation at Ka, V and W band from multichannel microwave radiometric data. Results show an appealing potential of this overall approach in order to overcome the difficulties to perform satellite-to-Earth radio propagation experiments in the unexplored millimeter-wave and submillimeter-wave frequency region.

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Document Details

Document Type
Technical Report
Publication Date
May 11, 2016
Accession Number
AD1009937

Entities

People

  • Frank S. Marzano
  • L. Milani
  • P. Basili
  • P. Ciotti
  • V. S. Mattioli

Organizations

  • Sapienza University of Rome

Tags

Communities of Interest

  • Space

DTIC Thesaurus Topics

  • Accuracy
  • Air Force
  • Air Force Research Laboratories
  • Atmospheric Attenuation
  • Bandwidth
  • Calibration
  • Deep Space
  • Electronic Mail
  • Frequency Bands
  • Ka Band
  • Measurement
  • Meteorology
  • Radiative Transfer
  • Remote Sensing
  • Space Missions
  • Terahertz Radiation
  • Weather Stations

Fields of Study

  • Environmental science

Readers

  • Atmospheric Remote Sensing.
  • Distributed Systems and Data Platform Development
  • Radar Systems Engineering.

Technology Areas

  • 5G
  • Space
  • Space - Space Objects