ON THE TRANSFER FUNCTION FOR A RADIO SCATTER CHANNEL

Abstract

The formal proof that the components of a signal produced by the scattering of a monochromatic wave by random irregularities of refractive index are independently and normally distributed cannot be made with existing m-cependent central limit theorems. What is needed is a theorem that sets forth the maximum rate at which random variables may become more correlated as their number increases and yet allows the distribution function of their sum to approach the normal distribution. The theorem should be extendable to the case of random vectors of finite dimension. Further, the assumption of a correlation function for the fluctuation structure cannot produce the probability distribution function for H(omega sub i, t sub j) . One can, however, calculate the power spectrum of the scattered wave from this correlation function. Assuming an isotropic exponential correlation function in both space and time, the power spectrum of y(t) was found for a monochromatic x(t). The result is not unreasonable compared to some experimental results. A correlation function in frequency was also computed. Unfortunately, sweep frequency experiments have not produced enough data as yet to make it possible to compare the data with the computed correlation function. (Author)

Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1962
Accession Number
AD0286153

Entities

People

  • H.e. Hardebeck

Organizations

  • Air Force Cambridge Research Laboratories

Tags

DTIC Thesaurus Topics

  • Distribution Functions
  • Frequency
  • Normal Distribution
  • Power Spectra
  • Probability
  • Probability Distribution Functions
  • Probability Distributions
  • Random Variables
  • Refractive Index
  • Scattering
  • Spectra
  • Transfer Functions

Fields of Study

  • Physics

Readers

  • Atmospheric Science / Meteorology, specifically Wind Wave Turbulence.
  • Mathematical Modeling and Probability Theory.
  • Statistical inference.

Technology Areas

  • Space