The adaptive configuration of nodes in a sensor network has the potential to improve sequential estimation performance by intelligently allocating limited sensor network resources. In addition, the use of heterogeneous sensing nodes provides a diversity of information that also enhances estimation performance. This work reviews cognitive systems and presents a cognitive fusion framework for sequential state estimation using adaptive configuration of heterogeneous sensing nodes and heterogeneous data fusion. This work also provides an application of cognitive fusion to the sequential estimation problem of target tracking using foveal and radar sensors.

Autorentext

Ioannis Kyriakides received his B.S. in Electrical Engineering in 2003 from Texas A&M University. He received his M.S. and Ph.D. in 2005 and 2008, respectively, from Arizona State University. He held a research associate position throughout his graduate studies, funded by the Integrated Sensing and Processing program and the Multidisciplinary University Research Initiative of the U.S. Department of Defense. In the final year of his Ph.D. work, he received the University Graduate Fellowship of the Arizona State University. His research interests include Bayesian target tracking, sequential Monte Carlo methods, and cognitive fusion for heterogeneous data fusion and heterogeneous sensing node configuration. His research work includes localization of multiple RF sources, tracking surface vehicles using passive acoustic sensing, tracking multiple targets with constraints in motion, and tracking multiple targets using heterogeneous cognitive sensors. Dr. Kyriakides is currently an Associate Professor at the Engineering Department at the University of Nicosia. He participates in the Department of Engineering Quality Assurance Committee and the University of Nicosia Environment, Health, and Safety Committee. He is a member of CapTech Information of the European Defence Agency. He has been the coordinator of a Research and Innovation Foundation project ""Automated Sonar-Thermal Monitoring for Sea Border Security"" with budget 180 K Euro. He is currently the coordinator of the Research and Innovation Foundation Project ""MARI-Sense: Maritime Cognitive Decision Support System"" with budget 1 M Euro www.marisense.eu.

Inhalt
Introduction.- Cognitive Fusion.- Cognitive Fusion for Target Tracking with Foveal and Radar Nodes.- Conclusions.- Bibliography.- Author's Biography.