CENTRAL LIMIT THEOREMS FOR CONDITIONALLY LINEAR RANDOM PROCESSES WITH APPLICATIONS TO MODELS OF RADAR CLUTTER,

Abstract

The paper presents models of random processes which have been found useful as models of radar clutter and reverberation interferences. A widely applicable technique for finding criteria under which linear processing of data (correlator outputs) will produce Gaussian statistics is presented. The models are called conditionally linear processes, and the description of the correlator output requires a central limit theorem for sums of dependent random variables. The conditions for the central limit theorem are related to physically reasonable conditions on the model. The results of the study are relevant to radar-interference problems and to the processing of non-Gaussian statistical data.

Document Details

Document Type
Technical Report
Publication Date
Apr 01, 1969
Accession Number
AD0688213

Entities

People

  • Percy A. Pierre

Organizations

  • RAND Corporation

Tags

Communities of Interest

  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Clutter
  • Correlators
  • Data Science
  • Information Processing
  • Information Science
  • Mathematics
  • Radar Clutter
  • Radar Interference
  • Random Variables
  • Reverberation
  • Statistical Data
  • Statistics

Readers

  • Acoustical Oceanography.
  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Mathematical Modeling and Probability Theory.