Uncertainty Propagation and the Fano Based Infromation Theoretic Method: A Radar Example

Abstract

This report contains work performed under AFOSR Lab Task 10RY08C0R. The Fano equality is joined with the data-processing inequality to develop a theory model for component level trade studies within radar signature exploitation systems. Entropy is used to represent propagating uncertainty within an information channel. Measures are developed to identify information flow bottlenecks within an information loss budget. The propagating effects of various sources of uncertainty on system performance are characterized. Numerical computation of entropic estimates on high dimensional signature processes are explored for risk-based design methods. Methods are demonstrated on a radar example.

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Document Details

Document Type
Technical Report
Publication Date
Feb 01, 2015
Accession Number
ADA613829

Entities

People

  • John A. Cortese
  • John A. Malas
  • Patricia A. Ryan

Organizations

  • Air Force Research Laboratory

Tags

Communities of Interest

  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Air Force
  • Air Force Research Laboratories
  • Computational Science
  • Data Processing
  • Electromagnetic Scattering
  • Feature Extraction
  • Information Processing
  • Information Science
  • Information Theory
  • Monte Carlo Method
  • Pattern Recognition
  • Radar Signatures
  • Radio Frequency
  • Random Variables
  • Signal Processing
  • Target Recognition
  • Target Signatures

Readers

  • Fluid Dynamics.
  • Space/Atmospheric Physics.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.