New Concepts in Maritime Detection
IEEE Aerospace and Electronics Systems Society (AESS)
The newly formed Victorian Chapter of the IEEE Aerospace and Electronics Systems Society (AESS), in collaboration with RMIT University, is pleased invite you to our chapter launch, and inaugural talk by Distinguished Lecturer Dr Luke Rosenburg (FIEEE). This will provide an excellent opportunity to meet and greet other chapter members, in addition to faculty members from RMIT University's Space Communications Group.
Lecture Topic:
Detection in the maritime domain requires the radar return from targets to be distinguishable from the background interference. These radars traditionally use non-coherent processing due to the time-varying and range-varying nature of the Doppler spectra. However, as radar platforms fly higher and look down at steeper angles, the sea clutter power will increase and traditional methods will not be as effective. This talk covers several new approaches for target detection in the maritime domain. These include the use of sparse signal separation algorithms, including dictionary learning, two machine learning algorithms and the application of the single snapshot coherent detector. Each of these techniques is demonstrated using either real or realistic simulated sea clutter and shows good potential when compared to traditional processing methods.
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- RMIT Melbourne City Campus
- Swanston Street
- Melbourne, Victoria
- Australia 3000
- Building: Building 80 Level 5
- Room Number: 12
- Click here for Map
- Contact Event Host
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AES Society President - Dr Bala Kumble - bala.kumble@innovasierra.com
- Co-sponsored by RMIT University - Space Communications Group
Speakers
Luke of Lockheed Martin Australia
New concepts in maritime detection
Detection in the maritime domain requires the radar return from targets to be distinguishable from the background interference. These radars traditionally use non-coherent processing due to the time-varying and range-varying nature of the Doppler spectra. However, as radar platforms fly higher and look down at steeper angles, the sea clutter power will increase and traditional methods will not be as effective. This talk covers several new approaches for target detection in the maritime domain. These include the use of sparse signal separation algorithms, including dictionary learning, two machine learning algorithms and the application of the single snapshot coherent detector. Each of these techniques is demonstrated using either real or realistic simulated sea clutter and shows good potential when compared to traditional processing methods.
Biography:
Luke Rosenberg (FIEEE) received the bachelor’s degree in electrical and electronic engineering, the master’s degree in signal and information processing, and the Ph.D degree from the University of Adelaide, Australia, in 1999, 2001, and 2007, respectively. In 2016, he completed the Graduate Program in Scientific Leadership at the University of Melbourne, Australia. He leads the RF Analysis and Sensemaking group at Advanced Systems & Technologies, Lockheed Martin Australia and is an adjunct Associate Professor with the University of Adelaide. Prior to this he was a Research Specialist at the Defence Science and Technology Group, Australia where he worked for 23 years. His work covers the areas of radar image formation, classification, adaptive filtering, detection theory, and radar and clutter modelling. Dr. Rosenberg has received several best paper awards, the prestigious Defence Science and Technology Achievement Award for Science and Engineering Excellence in 2016 and the IEEE AESS Fred Nathanson award in 2018 for ‘Fundamental Experimental and Theoretical Work in Characterizing Radar Sea Clutter’. In 2024, he became an IEEE Fellow for contributions to maritime radar. He is the VP Publications on the AESS board of governors, a distinguished lecturer for the AESS, senior editor for the Transactions of Aerospace and Electronic Systems and past chair of the IEEE South Australian Section. He has over 190 publications including a book on Radar Sea Clutter: Modelling and Detection.
Victorian Chapter, Australia