Intelligent Use of CFAR Algorithms

Abstract

The objective of this program is to demonstrate CFAR detection improvement by applying artificial intelligence techniques. The basic concept is one in which a system that dynamically selects the most appropriate CFAR algorithms based upon the characteristics of the interference, out-perform a single, fixed CFAR algorithm. This report describes one prototype Expert System CFAR Processor, its current status, implementation details and capabilities. Also discussed are CFAR algorithm testing and evaluation, and rulebase development.... Radar signal processing, CFAR Detection, Expert systems.

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Document Details

Document Type
Technical Report
Publication Date
May 01, 1993
Accession Number
ADA267755

Entities

People

  • A. Koscielny
  • B. Bowles
  • G. Capraro
  • L. Hennington
  • Piotr Antonik

Organizations

  • Kaman Corporation

Tags

Communities of Interest

  • Energy and Power Technologies
  • Materials and Manufacturing Processes
  • Sensors

DTIC Thesaurus Topics

  • Artificial Intelligence
  • Computational Science
  • Computer Languages
  • Computer Programming
  • Computers
  • Data Science
  • Databases
  • Detectors
  • Information Processing
  • Information Science
  • Knowledge Management
  • Plastic Explosives
  • Programming Languages
  • Radar Signals
  • Random Variables
  • Signal Processing
  • Statistical Algorithms

Fields of Study

  • Computer science
  • Engineering

Readers

  • Artificial Intelligence
  • Radar Systems Engineering.
  • Systems Analysis and Design

Technology Areas

  • AI & ML
  • AI & ML - DoD AI Strategy