Behavioral Learning for Adaptive Electronic Warfare (BLADE)

Abstract

The Behavioral Learning for Adaptive Electronic Warfare (BLADE) program developed the capability to jam adaptive and rapidly evolving wireless communication threats in tactical environments and at tactically-relevant timescales. This has changed the paradigm for responding to evolving threats from lab-based manual development to an adaptive in-the-field systems approach. When an unknown or adaptive communication threat appears in theater, BLADE dynamically characterized the communication network, synthesized an effective countering technique, and evaluated jamming effectiveness by iteratively probing, learning, and adapting to the threat. An optimization process tailored real-time responses to specific threats, producing a countermeasure waveform that maximizes jam effectiveness while minimizing the required jamming resources. BLADE enabled the rapid defeat of new communication threats and provided the warfighter with real-time feedback on jam effectiveness. The program transitioned to the U.S. Army Communications-Electronic RDT&E Center, Intelligence and Information Warfighter Directorate for further maturation and hardening.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2017
Source ID
76922934c4f4b07834f3f93286563d6c

Tags

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Military Science and Technology Research and Modernization.
  • Tactical Satellite Communications Systems Engineering.

Technology Areas

  • Microelectronics

Related Documents