Sensor Networking for Detection: From Distributed Detection to Energy Savings and MIMO Radar
|Event Date:||April 14, 2011|
|Speaker:||Rick S. Blum|
|Speaker Affiliation:||Department of Electrical & Computer Engineering, Lehigh University|
|Sponsor:||Communications, Networking, Signal & Image Processing|
|Contact Name:||Professor David Love
|Open To:||ACCEPTABLE FOR ECE 694A
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.
Rick S. Blum received the B.S. degree in electrical engineering from Pennsylvania State University, University Park, in 1984 and the M.S. and Ph.D. degrees in electrical engineering from the University of Pennsylvania, Philadelphia, in 1987 and 1991, respectively. From 1984 to 1991, he was a Member of Technical Staff at General Electric Aerospace, Valley Forge, PA, 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, Bethlehem, PA, 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.
Dr. Blum 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 the IEEE TRANSACTIONS ON SIGNAL PROCESSING and for the IEEE COMMUNICATIONS LETTERS. He edited special issues for the IEEE TRANSACTIONS ON SIGNAL PROCESSING, the IEEE JOURNAL OF SELECTED TOPICS IN SIGNAL PROCESSING, and the 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. He is 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 was awarded the grade of IEEE Fellow “for scientific contributions to detection, data fusion and signal processing with multiple sensors,” acknowledging some early contributions to the field of sensor networking.