IEEE University of Toronto Student Branch

Dec 3, 2008 6:00PM - 7:30PM
BA 1240

Speaker
Prof. Yaakov Bar-Shalom, Distinguished IEEE AESS Lecturer
Electrical & Computer Engineering Dept., University of Connecticut

Organizer
IEEE Aerospace Electronics System Society (AESS) Toronto Chapter

Abstract
This talk discusses the issues related to information extraction and data fusion from multiple sensors. The goal of extracting the maximum possible amount of information from each sensor requires the use of appropriate sensor and target models. In these models one has to quantify the corresponding uncertainties. The fusion of the information from the various sources has to account for their uncertainties as well as the interrelationship between the various uncertainties across sources. The uncertainties and target motion models require the use hybrid --- multiple model --- estimation algorithms.

The various configurations for tracking with data fusion from multiple sensors are discussed. A real-data example from air traffic surveillance using 5 radars and 800 targets is presented. The real-time feasibility of an advanced tracking algorithm combined operating in a centralized configuration in conjunction with global data association is demonstrated. Some performance comparisons between several configurations --- centralized and decentralized --- are also presented.

Biography
Dr. Bar-Shalom is an IEEE Fellow. He has written seven books and more than 360 papers and book chapters, and is the most published author in the IEEE Transactions on Aerospace and Electronic Systems. His previous awards include the M. Barry Carlton Award for the best paper in IEEE Transactions on Aerospace and Electronic Systems (1995, 2000) and the 2002 J. Mignona Data Fusion Award presented by the DOD Joint Directors of Laboratories Data Fusion Group. He is a recipient of the 2008 IEEE Dennis J. Picard Medal for Radar Technologies and Applications. Dr. Bar-Shalom received his B.S. and M.S. degrees from Technion, Israel Institute of Technology, and his doctoral degree from Princeton University – all in electrical engineering.