Cognitive Electronic Warfare: An AI Approach
Presentation Menu
This course will cover how artificial intelligence (AI) can be used in electronic warfare (EW). AI enables EW systems to respond more quickly and effectively to battlefield conditions with complex and novel emitters. The course will discuss AI-based situation assessment techniques for electronic support (ES), including characterization, classification, patterns of life, and intent recognition. The course will cover decision- making techniques for electronic protect (EP), electronic attack (EA), and electronic battle management (EBM), including optimization, temporal tradeoffs, and distributed coordination. The course will describe how to handle real-time in-mission learning, motivate why this capability is crucial, and discuss how to evaluate a system that learns during a mission. It will cover data management approaches and system architecture. The course is based on the book "Cognitive Electronic Warfare: An Artificial Intelligence Approach"
Objective and Learning Outcomes
Understand how AI can solve the challenges of modern EW systems.
Intended Audience
Experts in EW, communications, or cognitive radar, who want to learn more about how and where to use AI.
Outline and time frame of the Short Course
(Notionally, up to 6 hours. Negotiable.)
- Introduction to Cognitive EW, Domain Challenges
- ML Primer, Situation Assessment for Electronic Support
- Objective Function, Decision Making for EP,EA and EBM, Real-Time In-Mission Planning and Learning
- Data Management, SW and HW Architecture
- Testing & Evaluation, Role of Humans in EW
- System Walkthrough (complete), Getting Started, Design Considerations
Instructor Short Course History
Book in Sept 2021
MilCom tutorial Nov 2021
(pending) RadarConf tutorial May 2023
A variety of 1-hour webinars