Adaptive Radar Countermeasures (ARC)*

Abstract

*Previously part of Behavioral Learning for Adaptive Electronic Warfare (BLADE) The goal of the Adaptive Radar Countermeasures (ARC) program is to provide effective electronic countermeasure (ECM) techniques against new or unknown threat radars. Current airborne electronic warfare (EW) systems rely on the ability to uniquely identify a threat radar system to apply an appropriate preprogrammed countermeasure (CM) technique which can take many months to develop. Countering radar systems is increasingly challenging as digitally programmed radars exhibit novel behaviors and agile waveform characteristics. ARC will develop new processing techniques and algorithms that adapt in real-time to generate suitable countermeasures. Using techniques such as state modeling, machine learning, and system probing, ARC will learn the behavior of the threat system, then choose and implement an appropriate countermeasure strategy. ARC technologies will transition to the U.S. Air Force and Navy.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2014
Source ID
dfc95b9eb353e70fd87c0770c826622a

Tags

Readers

  • Artificial Intelligence
  • Plasma Physics.
  • Sensor Fusion and Tracking Systems.

Technology Areas

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

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