2022 AESS Virtual Distinguished Lecturer Series: Luke Rosenberg - Simulation of Radar Sea Clutter

#Radar #Sea #Clutter
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Realistic simulation of radar sea clutter is extremely important to stimulate radar processors during development and testing, generate realistic displays in radar trainers, and evaluate radar detection algorithms. A simulated signal must reproduce as faithfully as possible the statistical characteristics that are present in real data, including the mean backscatter, amplitude statistics, short-term temporal correlation (including that represented by the Doppler spectra), and any spatial or longer-term temporal variations. It must also reflect the chosen radar parameters, collection geometry, and model the effect of platform motion if the data is being collected by an airborne radar system. This talk will describe a number of approaches for generating hi-fidelity radar sea clutter using statistical models and demonstrate how they compare against data collected from both ground and airborne platforms.



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  • Date: 14 Nov 2022
  • Time: 07:30 PM to 08:30 PM
  • All times are (UTC+09:30) Adelaide
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  Speakers

Luke Rosenberg of DSTG

Biography:

Luke Rosenberg (Senior Member, IEEE) 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, 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 is currently an adjunct Associate Professor with the University of Adelaide and the Discipline Lead for Maritime Radar with the Defence Science and Technology Group, Australia. His work covers the areas of radar image formation, classification, adaptive filtering, detection theory, and radar and clutter modeling. In 2014, he spent 12 months with the U.S. Naval Research Laboratory (NRL) working on algorithms for focusing moving scatterers in synthetic aperture radar imagery.