INFORMATION THEORETIC EVALUATION OF NONLINEAR ANTENNA PROCESSING SYSTEMS.

Abstract

Techniques have been developed for the evaluation of information rates in antenna processing systems which include nonlinearities. A general procedure is considered for finding the probability distributions of time-dependent variables which are filtered and which then undergo algebraic transformations. The nonlinear transformations include squaring and product operations. A prototype nonlinear processing antenna is presented and a procedure developed for evaluating the useful output entropy (information) for such an antenna. With this procedure, an information theoretic comparison of various signal processing systems can be made. Two principal numerical techniques suitable for digital computation of the entropy for nonlinear processing arrays are presented. The first directly simulates the antenna input process by the generation of random numbers. The computer then carries out the various operations which are involved in the antenna processing system. This technique has been applied to several examples and numerical results were obtained. The second method evaluates the information content directly by analytical techniques. In this method, Monte Carlo integration techniques are used to reduce computation time. (Author)

Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1964
Accession Number
AD0612757

Entities

People

  • A. Ksienski
  • G. O. Young

Tags

DTIC Thesaurus Topics

  • Computations
  • Computers
  • Demographic Cohorts
  • Mathematics
  • Monte Carlo Method
  • Probability
  • Probability Distributions
  • Prototypes
  • Signal Processing
  • Test And Evaluation

Fields of Study

  • Engineering

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Approximation Theory.
  • Computer Science.