A STATISTICAL MODEL FOR FORWARD SCATTERING OF WAVES OFF A ROUGH SURFACE,

Abstract

Using methods of physical optics, a statistical description of the scattering of waves off a rough surface is obtained. The rough surface is assumed to consist of a large number of independent point scatterers which fluctuate randomly in vertical position and also disappear and appear at random. The surface is divided into cells so that no more than one scatterer can occupy a cell, and the events in any two different cells are independent of each other. The average scattered signal, the mean square fluctuation, and the time covariance of the fluctuating portion of the signal are computed in terms of the mean square scatterer height, the grazing angle, the radiation wavelength, the decay time for disappearance of scatterers, the time autocorrelation of a scatterer height, and the a priori probability of finding a given cell occupied by a scatterer. (Author)

Document Details

Document Type
Technical Report
Publication Date
Feb 15, 1967
Accession Number
AD0657109

Entities

People

  • L. M. Spetner

Organizations

  • Johns Hopkins University Applied Physics Laboratory

Tags

DTIC Thesaurus Topics

  • Autocorrelation
  • Covariance
  • Data Science
  • Electromagnetic Scattering
  • Forward Scattering
  • Grazing
  • Grazing Angles
  • Information Science
  • Low Angles
  • Mathematics
  • Probability
  • Radiation
  • Scattering

Fields of Study

  • Physics

Readers

  • Approximation Theory.
  • Electromagnetic Wave Scattering and Antenna Radiation Engineering
  • Mathematics or Statistics