Behavioral Learning for Adaptive Electronic Warfare (BLADE)*

Abstract

*Previously part of Advanced Electronic Warfare The Behavioral Learning for Adaptive Electronic Warfare (BLADE) program will develop the capability to jam adaptive and rapidly evolving radio frequency (RF) threats in tactical environments and at tactically-relevant timescales. This will change the paradigm for responding to evolving threats from lab-based manual development to an adaptive in-the-field systems approach. When an unknown or advanced RF threat appears, BLADE networked nodes will dynamically characterize the emitter, synthesize an effective countering technique, and evaluate jamming effectiveness by iteratively probing, learning, and adapting to the threat. An optimization process will tailor near-real-time responses to specific threats, producing a countermeasure waveform that maximizes jam effectiveness while minimizing the required jamming resources. Thus BLADE will enable the rapid defeat of new RF threats and provide the warfighter with real-time feedback on jam effectiveness. The program is planned for transition to the Services.

Document Details

Document Type
Accomplishment
Publication Date
Oct 01, 2012
Source ID
664a4e14d579832e59f3ffb2fa992906

Tags

Readers

  • Enterprise Information Systems Architecture and Joint Command Capability Interoperability Support.
  • Military Science and Technology Research and Modernization.
  • Tactical Satellite Communications Systems Engineering.

Technology Areas

  • Microelectronics
  • Microelectronics - Microelectromechanical Systems

Related Documents