Program Summary
The Behavioral Learning for Adaptive Electronic Warfare (BLADE) program is developing the capability to counter new and dynamic wireless communication threats in tactical environments. BLADE is enabling a shift from today's manual-intensive lab-based countermeasure development approach to an adaptive, in-the-field systems approach. The program will achieve this by developing novel-machine learning algorithms and techniques that can rapidly detect and characterize new radio threats, dynamically synthesize new countermeasures, and provide accurate battle damage assessment based on over-the-air observable changes in the threat.