Advanced EW Systems with Machine Learning
This lecture will provide an introduction to electronic warfare (EW) concepts and principles. The intent is familiarize the audience with EW concepts and achieve an understanding of how EW is used to interrupt radar processing chains. This will include a general discussion on the EW field, including applications outside radar specific uses and terminology widely used within the field. A historical development of the EW field will be presented to motivate importance and historical use. Basic EW techniques (e.g. noise, range/velocity techniques, etc.) with associated effects on nominal radars will be presented/discussed to ensure an understanding of the technical underpinnings of EW. Building on the basic techniques, a brief discussion on concepts in advanced EW systems and current research will be presented. The discussion will conclude by briefly presenting the revolutionary impact of cognitive and AI/ML processes on EW, which will serve as a lead in to Karen Haigh's discussion on Cognitive EW.
Date and Time
Location
Hosts
Registration
- Date: 23 Apr 2025
- Time: 04:00 PM UTC to 05:00 PM UTC
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- L3 Harris Technologies
- 77, River Road
- Clifton, New Jersey
- United States
- Building: Auditorium
- Contact Event Host
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Mike Newell: msnewell2000@yahoo.com
- Co-sponsored by IEEE North Jersey Section
- Starts 11 March 2025 04:00 AM UTC
- Ends 18 April 2025 04:00 AM UTC
- No Admission Charge
Speakers
David Brown of Southwest Research Institute (SwRI)
Advanced EW Systems with Machine Learning
Biography:
David Brown is a research engineer in the Defense & Intelligence Solutions Division at Southwest Research Institute (SwRI) where he is the lead engineer for advanced electronic warfare (EW) system research & development. His research interests include applied cognitive EW, including methodologies to push AI/ML algorithms to the sensor edge and smart data compression for congested data transport layers. Prior to joining SwRI, he held a variety of EW related research & development positions and was an adjunct professor at the Georgia Institute of Technology. In addition to engineering experience in EW, David developed experience in practical application of EW as a B-1B aviator. David received undergraduate and graduate training in electrical engineering from Georgia Tech as well as Master of Arts and Master of Divinity from Liberty University. David is a Distinguished Graduate of the Joint Electronic Warfare Officer School and is the recipient of the AOC EW Pioneer Award and RF Award. He served as the co-chair of the Sensor Open Systems Architecture (SOSA) Low Latency Subcommittee, which focused on EW specific concerns within open architecture systems. David is a senior member of the IEEE, and licensed Professional Engineer in the State of Georgia.
Address:Canada
Agenda
Please RSVP to Nicole Zaretski (President, AOC Garden State Chapter), and indicate if you plan to attend in person or virtually, by COB Friday, 18 April to secure your place.
The online presentation will begin promptly at 12:00 noon, but virtual attendees should sign in early to ensure they are able to connect to the web event.