Sensor Networking for Detection: From Distributed Detection to Energy Savings and MIMO Radar

Pr. Rick Blum (ECE department of Lehigh University)

APPLIED SIGNAL PROCESSING SERIES

DATE: 2011-11-23
TIME: 11:00:00 - 12:00:00
LOCATION: RSISE Seminar Room, ground floor, building 115, cnr. North and Daley Roads, ANU
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ABSTRACT:
The focus of the talk is on sensor networking for signal detection. We give a brief review of distributed signal detection which describes some very early work on sensor networking for signal detection. We discuss the important result that sensor likelihood ratio tests are optimum under independence from sensor to sensor. We discuss the more difficult cases of statistically dependent observations and show that some progress can be made in these cases. Next we describe some new work on energy savings for signal detection that shows traditional approaches can be significantly outperformed by ordering the sensor transmissions to send the most informative data first. Finally we discuss a new paradigm called MIMO radar where widely separated multiple transmitters and receivers are employed using either coherent or noncoherent processing. The noncoherent processing allows diversity gains similar to those obtained in communications. The coherent processing allows very high resolution estimation of the position and velocity of objects of interest.

BIO:
Rick S. Blum received a B.S. in Electrical Engineering from the Pennsylvania State University in 1984 and his M.S. and Ph.D in Electrical Engineering from the University of Pennsylvania in 1987 and 1991. From 1984 to 1991 he was a member of technical staA at General Electric Aerospace in Valley Forge, Pennsylvania and he graduated from GE`s Advanced Course in Engineering. Since 1991, he has been with the Electrical and Computer Engineering Department at Lehigh University in Bethlehem, Pennsylvania where he is currently a Professor and holds the Robert W. Wieseman Chaired Research Professorship in Electrical Engineering. His research interests include signal processing for communications, sensor networking, radar and sensor processing. He is on the editorial board for the Journal of Advances in Information Fusion of the International Society of Information Fusion. He was an associate editor for IEEE Transactions on Signal Processing and for IEEE Communications Letters. He has edited special issues for IEEE Transactions on Signal Processing, IEEE Journal of Selected Topics in Signal Processing and IEEE Journal on Selected Areas in Communications. He is a member of the SAM Technical Committee (TC) of the IEEE Signal Processing Society. He was a member of the Signal Processing for Communications TC of the IEEE Signal Processing Society and is a member of the Communications Theory TC of the IEEE Communication Society. He was on the awards Committee of the IEEE Communication Society. Dr. Blum is a Fellow of the IEEE, an IEEE Third Millennium Medal winner, a member of Eta Kappa Nu and Sigma Xi, and holds several patents. He was awarded an ONR Young Investigator Award in 1997 and an NSF Research Initiation Award in 1992. His IEEE Fellow Citation for scientific contributions to detection, data fusion and signal processing with multiple sensors" acknowledges some early contributions to the field of sensor networking.