Graham Victor Weinberg
Graham V. Weinberg read mathematics and statistics at the University of Melbourne, graduating with a PhD in stochastic processes in 2001. Since 2002 he has been employed by DST Group, working in the area of airborne high resolution maritime surveillance radar. He has also completed an MSc in signal processing from the University of Adelaide, graduating in 2010. He is on the editorial board of IET Electronics Letters and is also a member of the IET (UK).
Subjects: Engineering - Electrical, Geoscience, Mathematics, Statistics
Biography
Graham V Weinberg was educated at the University of Melbourne, Australia, where he studied mathematical analysis and probability theory. After completing a joint Honours degree in these fields, he undertook a PhD in stochastic processes and applied probability. Completing his PhD in 1999 he subsequently moved to Adelaide, where he undertook a fellowship at the University of Adelaide. This was followed by employment at DSTO (now DST Group), where he has spent his entire time examining radar detection issues for maritime surveillance radar.During 2007-2010 an MSc was completed, through the University of Adelaide, to strengthen his knowledge base in signal processing. Since then he has published extensively in the areas of non-coherent and coherent radar detection, constant false alarm rate detection processes as well as applications of his thesis work to convergence and approximation problems in radar signal processing.
Since late 2015 he has served on the editorial board of IET Electronics Letters as an Associate Editor and reviews papers for a large number of journals.
Education
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Bachelor of Science (Honours), University of Melbourne, 1996
Doctor of Philosophy, University of Melbourne, 2001
Master of Science, University of Adelaide, 2010
Areas of Research / Professional Expertise
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Radar detection theory; mathematics of radar signal processing; constant false alarm rate property
Books
Articles
Enhancing Goldstein's Log-t Detector in Pareto Distributed Clutter
Published: Feb 09, 2017 by IEEE Transactions on Aerospace and Electronic Systems
Authors: Graham V. Weinberg, Vanessa G. Glenny
In 1973 Goldstein introduced his Log-t detector, which attained the constant false alarm rate property for a class of clutter models including the Log Normal and Weibull distributions. This paper shows that under the assumption of Pareto distributed clutter, false alarm regulation can also be attained. A modification of the Log-t detector is shown to enhance its performance in terms of managing interference.
On the Construction of CFAR Decision Rules via Transformations
Published: Feb 01, 2017 by IEEE Transactions on Geoscience and Remote Sensing
Authors: Graham V. Weinberg
This paper shows how the full constant false alarm rate property can be achieved, for sliding window detectors operating in Pareto distributed clutter. The key is to apply a complete sufficient statistic for the Pareto scale parameter in transformed decision rules.
Analysis of a dual order statistic constant false alarm rate detector
Published: Oct 01, 2016 by IEEE Transactions on Aerospace and Electronic Systems
Authors: Graham V. Weinberg, Aris Alexopoulos
A dual order statistic detector is examined and shown to have the constant false alarm rate property when the clutter is modelled by a certain class of distributions. For the case of Pareto distributed clutter, mathematical analysis establishes some rules of thumb that can be used to select appropriate order statistic indices. The performance of this detector is then examined in such clutter, including an analysis of the effects of interfering targets and clutter transitions.
Asymptotic Performance of the Geometric Mean Detector in Pareto Clutter
Published: Aug 01, 2016 by IEEE Signal Processing Lettters
Authors: Graham V. Weinberg
A proof of limiting behavior of one of the detectors I developed in 2013. This is one of my favourite pieces of work, since it is a mixture of my fundamental interests in analysis and probability with my radar detection work.
General transformation approach for CFAR detector development
Published: Jan 01, 2014 by Digital Signal Processing
Authors: Graham V. Weinberg
General version of the 2013 publication.
Constant false alarm rate detectors for pareto clutter models
Published: Jan 01, 2013 by IET Radar, Sonar and Navigation
Authors: Graham V. Weinberg
Foundational paper on sliding window detector development via the transformation approach.
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