Cognitive Electronic Warfare: An AI Approach


Karen Haigh

Haskill Consulting

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.)

  1. Introduction to Cognitive EW, Domain Challenges
  2. ML Primer, Situation Assessment for Electronic Support
  3. Objective Function, Decision Making for EP,EA and EBM, Real-Time In-Mission Planning and Learning
  4. Data Management, SW and HW Architecture
  5. Testing & Evaluation, Role of Humans in EW
  6. 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