Simulation and Interpretation of Polarization Diversity Radar Spectral Functions.

Abstract

A numerical model was developed to simulate the power spectra, cross-spectrum, and derived functions obtainable from a coherent polarization diversity radar. The model was used to investigate the effects of air velocity variance, differential propagation, and noise on the spectral functions. Input parameters include radar wavelength, elevation angle, air velocity variance, rainfall rate, propagation distance, fraction of scatterers having a preferred orientation, and relative noise level. Results of calculations for 8.6 mm and 7.5 cm wavelengths are illustrated. These are compared with the functional forms obtained from theory and discussed in terms of the meteorological information derivable from them. The forms of the spectral power ratio and the cross-spectral amplitude ratio are strongly affected by air velocity variance and by noise. However, it appears possible to derive a good estimation of the Doppler air velocity from the power spectra. The cross-spectral amplitude ratio may be of more general value in analysis than previously thought, because its Doppler velocity domain is greater than that of the spectral power ratio in the presence of radar system noise. The absolute error of the propagation term estimated from the cross-spectral amplitude ratio is not strongly dependent on the rainfall rate or propagation distance.

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Document Details

Document Type
Technical Report
Publication Date
Apr 28, 1983
Accession Number
ADA132622

Entities

People

  • James I. Metcalf

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Amplitude
  • Backscattering
  • Coherent Radar
  • Elevation
  • Noise (Radar)
  • Orientation (Direction)
  • Peak Values
  • Phase Shift
  • Polarization
  • Power Spectra
  • Radar
  • Rain
  • Rainfall
  • Rayleigh Scattering
  • Scattering
  • Simulations
  • Spectra

Readers

  • Approximation Theory.
  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Radar Systems Engineering.