Electronic Warfare Signal Processing
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 Export to Your Calendar 9/14/2020 to 9/30/2020
When: 9/14/2020 - 9/30/2020
Where: Live Web Course - No Travel Required!
United States
Presenter: Kyle Davidson
Contact: Caleb Herr
703 549 1600

Online registration is available until: 9/14/2020
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Electronic Warfare Signal Processing

Course Length 24 hours total - delivered across 8 sessions of 3-hours each.

  • Mondays, Wednesdays & Fridays, 13:00 – 16:00 EDT (17:00 - 20:00 UTC), September 14th – 30th


This course introduces students to Electronic Warfare (EW) signal processing systems and their implementation, providing a foundation in learning to solve modern EW problems.

The course contains four major topics: an introduction to Digital Signal Processing (DSP) for EW, EW signal processing systems, implementation of EW systems, and an overview of the latest advances in EW signal processing. A progressive approach is taken, moving from introductory material such as the Fourier Transform in EW detectors, to how that algorithm could be implemented in real-time, and finishing with new methods of detection using machine learning. Each topic will include lectures, demonstrations, and – for the more ambitious – an exercise to further explore EW signal processing using software. 

Course Schedule:

Session 1

Session 3

Session 5

Session 7

Course Introduction Digital Data Formats EW Receivers Eigen Values
DSP and Periodic Sampling Direction Finding FFT Related Operations High Resolution Spectrum Estimation
Discrete Fourier Transform Geolocation Amplification and Digital Conversion Receiver Tests
Fast Fourier Transform Waveforms for EW Frequency Down Converstion LPI Radar Systems

Session 2

Session 4

Session 6

Session 8

Finite Impulse Response Field Programmable Gate Arrays for EW I Sensitivity and Detection Detecting Low Probability of Intercept Signals
Finite Impulse Response Field Programmable Gate Arrays for EW II
Phase Measurement and Zero Crossing Machine Learning
Infinite Impulse Response Multi-Rate Signal Processing Frequency Channelization Deep Learning
Quadrature Systems Parallel Filters
Multiple FFT Receiver Conclusion

Who should attend:

The intended audience of this course are Electronic Warfare (EW) professionals looking to expand their knowledge of the field. No prior experience in EW is required, but a background in engineering or science is recommended. 


Course Cost:

AOC Members - $1600

Non AOC Members - $1650


Instructor:  Kyle Davidson

Kyle Davidson is a former signals officer, having served for 15 years in the Canadian Army. During this time, he held a variety of positions in the field force, on operations in Afghanistan, and as an educator. For the last five years in the Army he served at the Royal Military College of Canada (RMC) as an assistant professor in the Department of Electrical and Computer Engineering, from which he holds a B.Eng. and M.A.Sc. He continues to serve as an adjunct professor at RMC and is scheduled to defend his Ph.D. in EW systems engineering in the spring of 2019. Since leaving the Canadian Armed Forces he has worked as a Radar and Electronic Warfare Scientist and later Head of Capability at Tactical Technologies Inc., a subsidiary of Leonardo MW, on a variety of projects, often related to the Eurofighter Typhoon's defensive aid suite. He is currently the Chief Engineer for Electronic Warfare Systems at MDA where he focusses on developing EW technologies and teams to support a variety of projects in the land, air, sea, and space domains.


With over 13,000 members internationally, the Association of Old Crows is an organization for individuals who have common interests in Electronic Warfare (EW), Electromagnetic Spectrum Management Operations, Cyber Electromagnetic Activities (CEMA), Information Operations (IO), and other information related capabilities. The Association of Old Crows provides a means of connecting members and organizations nationally and internationally across government, defense, industry, and academia to promote the exchange of ideas and information, and provides a platform to recognize advances and contributions in these fields.
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