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MAIT Program Description Current Schedule Course Offerings Instructors Degrees and Certificates Application Information
Masters Program brochure |
MAIT 679Z: Short-course in RADAR Signal ProcessingCourse meetings: October 10, 11, 17, 18, from 8:30am - 6:00pm The fee for conference registration is $600; please contact Christopher Shaw at schris-at-umd-dot-edu if you are interested in conference registration. OverviewThis course provides a comprehensive introduction to the essential concepts and methods used in digital processing of radar signals. It also surveys several more advanced topics in radar signal processing that are of current interest in connection with the design of advanced radar systems and operational capabilities. The perspective of the course is centered in signal design and processing of received signals. Standard models for propagation and scattering of electromagnetic signals will be employed without emphasis on the underpinning electromagnetic theory.Target AudienceThis course is designed for students and professional practitioners who already have knowledge of signal analysis and the fundamentals of digital signal processing, either from the perspective of DSP engineering or applied mathematics. Some background in probability and random variables will be helpful for the detection aspects of the course. The course begins with essential techniques in pulse-Doppler radar and proceeds to treat recent methods, such as space-time adaptive processing (STAP), that are beyond the scope of many introductory courses. It also introduces some emerging methodology, such as adaptive waveform scheduling.FormatThe course meets in four 9.5-hour blocks on Saturday and Sunday, October 10th and 11th and on Saturday and Sunday, October 17th and 18th, 2009. A preparatory reading assignment, required in order to understand the material in the course, is given in advance of the first class meeting. A final project for 50% of the class grade is given at the end of the course, to be turned in by the end of the semester, and graded by the academic staff of the Norbert Wiener Center. During this time, the instructors of the course will be available by email for help in completing the projects. During the four class sessions, the instructors present material in topical modules, supported by extensive course notes. Key concepts are reinforced by supervised computer laboratory exercises and demonstrations using Matlab with actual and simulated radar data. In the week between the second and third course sessions, the students prepare a proposal for their project assignment. A discussion of these proposals and mentoring by the instructors will be part of the next class period.Main Topics
InstructorsStephen Howard is Principal Research Scientist at the Australian Defence Science and Technology Organisation (DSTO), where he is involved in research in the area electronic surveillance and radar systems. He has led DSTO research efforts in development of algorithms in several areas of electronic surveillance, including radar pulse train deinterleaving, precision radar parameter estimation and tracking, estimation of radar intrapulse modulation, and advanced geolocation techniques. Since 2003, he has led the DSTO long-range research program in radar resource management and waveform design. Dr. Howard holds a Ph.D. in mathematics from La Trobe University and maintains an adjunct appointment in the faculty of Electrical and Electronic Engineering at the University of Melbourne. Bill Moran is Professor of Electrical Engineering at the University of Melbourne, where he is the Technical Director of the Melbourne Systems Laboratory. He also serves as a consultant to the Australian Department of Defence through DSTO and as a consultant to numerous technology companies in Australia and abroad. Professor Moran's main areas of recent research are in signal processing, particularly with radar applications, waveform design and radar theory, and sensor management. He also works in various areas of mathematics including harmonic analysis and number theory. Professor Moran received his Ph.D. in mathematics from the University of Sheffield. Douglas Cochran is Program Manager for Applied Mathematics at the U.S. Air Force Office of Scientific Research. He is on leave from a faculty position in the departments of Electrical Engineering and Mathematics & Statistics at Arizona State University where he has received multiple teaching awards. He previously held positions at the U.S. Defense Advanced Research Projects Agency (DARPA) and at BBN Systems and Technologies Inc. Professor Cochran's research is in the areas of sensor signal processing and applied harmonic analysis. He received his Ph.D. in applied mathematics from Harvard University. |
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Suite 2211, Department of Mathematics,
University of Maryland, College Park, MD 20742. Phone: (301) 405-5158,FAX: (301) 314-0827. The Norbert Wiener Center is part of the College of Computer, Mathematical, and Physical Sciences.