EE Systems Seminar
Fully Adaptive Radar
Abstract: This presentation will motivate the need for closed loop adaptive radar processing. The issues of training data size, heterogeneity, and underlying computational cost will be discussed in some detail. Open problems in the area will be featured and potential solution directions will be presented.
Bio: Muralidhar Rangaswamy received the B.E. degree in Electronics Engineering from Bangalore University, Bangalore, India in 1985 and the M.S. and Ph.D. degrees in Electrical Engineering from Syracuse University, Syracuse, NY, in 1992. He is presently employed as the Senior Advisor for Radar Research at the RF Exploitation Branch within the Sensors Directorate of the Air Force Research Laboratory (AFRL). Prior to this he has held industrial and academic appointments. His research interests include radar signal processing, spectrum estimation, modeling non-Gaussian interference phenomena, and statistical communication theory. He has co-authored more than 180 refereed journal and conference record papers in the areas of his research interests. Additionally, he is a contributor to 8 books and is a co-inventor on 3 U.S. patents.
Dr. Rangaswamy is the Technical Editor (Associate Editor-in-Chief) for Radar Systems in the IEEE Transactions on Aerospace and Electronic Systems (IEEE-TAES). He served as the Co-Editor-in-Chief for the Digital Signal Processing journal between 2005 and 2011. Dr. Rangaswamy serves on the Senior Editorial Board of the IEEE Journal of Selected Topics in Signal Processing (Jan 2012-Dec 2014). He received the IEEE Warren White Radar Award in 2013, the 2013 Affiliate Societies Council Dayton (ASC-D) Outstanding Scientist and Engineer Award, the 2007 IEEE Region 1 Award, and the 2005 IEEE-AESS Fred Nathanson memorial outstanding young radar engineer award. He was elected as a Fellow of the IEEE in January 2006. He received the 2012 and 2005 Charles Ryan basic research award from the Sensors Directorate of AFRL, in addition to more than 40 scientific achievement awards.
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