|
Benjamin B. Thompson, Ph.D.
Research Associate and Department Head for Tactical Processing and Control Technology in the Undersea Weapons Office. Applied Research Lab, Penn State University
Wednesday, November 18, 2009, 12:20, Room 312, Rogers Bld. |
 |
|
Abstract:
Kalman filtering has long served as the workhorse for many control and state estimation processes, but surprisingly few young engineers are exposed to it outside of very specialized course work. The purpose of this presentation is to provide some historical and technical background for the Kalman filter, and to describe its structure and operation from a state-space model perspective, with particular focus on its application toward dynamic target tracking in two dimensions. Time permitting, the "extended Kalman filter" for nonlinear target dynamics and the use of pseudo-linear target measurements (observations) will be discussed as well.
Biographical Information:
Ben Thompson graduated from Baylor University in 2000 with a Bachelor of Science in Engineering (Electrical option). Following that, he earned his MS (2002) and PhD (2004) in Electrical Engineering at the University of Washington in Seattle, WA, under the expert tutelage of Dr. Robert J. Marks II as part of the Computational Intelligence Applications Laboratory, with a focus in signal processing and control. Dr. Thompson is currently on the research faculty at the Applied Research Laboratory at the Pennsylvania State University in scenic State College, PA, where he is a Research Associate and Department Head for Tactical Processing and Control Technology in the Undersea Weapons Office. The vast majority of Dr. Thompson's research and development efforts have focused on sonar acoustic signal processing and intelligent control algorithms for autonomous undersea vehicles. |
