Artificial Intelligence and Waveform Diversity

Abstract

Future US Air Force sensor systems must be able to adapt to changing environments in real time. A capabilities-based modeling approach offers a new method for building the next generation weapon system. To accommodate this model-based approach, the Department of Defense (DoD) is promoting the use of waveform diversity for active radar systems. Building a weapon system including one or more systems with waveform diversity will require the use of artificial intelligence (AI) tools and techniques. This paper provides a model of how an aircraft sensor system can be retrofitted to accommodate radars employing waveform diversity without causing fratricide.

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Document Details

Document Type
Technical Report
Publication Date
Oct 04, 2003
Accession Number
ADP021390

Entities

People

  • Christopher T. Capraro
  • Gerard T. Capraro
  • Michael C. Wicks
  • Raymond A. Liuzzi

Tags

Communities of Interest

  • Energy and Power Technologies
  • Sensors
  • Space
  • Weapons Technologies

DTIC Thesaurus Topics

  • Air Force
  • Artificial Intelligence
  • Data Processing
  • Department Of Defense
  • Detection
  • Detectors
  • Engineering
  • False Alarms
  • Frequency
  • Military Standards
  • Multiagent Systems
  • Ontologies
  • Radar
  • Sensor Fusion
  • Signal Processing
  • Standards
  • Weapon Systems

Fields of Study

  • Engineering

Readers

  • Aerospace Engineering
  • Neural Network Machine Learning.
  • Sensor Fusion and Tracking Systems.

Technology Areas

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