High Resolution Direction Finding



High Resolution Direction Finding

Thursday, August 20, 2020 14:00 -15:00 EDT

 

Electronic Warfare (EW) systems commonly use techniques such as phase difference of arrival, amplitude comparison, and time difference of arrival to determine the angle of arrival of a signal. However, modern signal processing theory has developed a series of techniques for estimating the angle of arrival with a much higher resolution. The goal of this webinar is to examine these various super resolution techniques, such as Multiple-Signal Classification (MUSIC) and Estimation of Signal Parameters via Rotational Invariance Techniques (ESPRIT), and how they can be applied to EW systems for estimating the angle of arrival and spectrum of signals.

Speaker and Presenter Information

PRESENTER

 

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. 

 

 

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Event Type
Webcast


When
Thu, Aug 20, 2020, 2:00pm - 3:00pm ET


Cost
Complimentary:    $ 0.00


Website
Click here to visit event website


Organizer
Association of Old Crows


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