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Dr. Peter Shea
   Black River Systems Company, Inc., Lakeville, MN

Improved GMTI Performance Prediction Methodology

November 18, 2005 :: 12:00 - 1:00 pm


 The ability to analytically determine the performance of a tracking system under a variety of operating conditions is useful in a variety of situations ranging from radar and sensor design stages to understanding tracking performance in a sensor resource management system. The shortcoming of most tracking performance analysis work is that it is valid only under the conditions in which the data was collected. Any deviation from these circumstances results in a model extrapolation with questionable results. Previously, we described an approach in which we could predict the performance of GMTI tracking system by incorporating key influences on the tracking performance. In this previous work we made assumptions that missed detections due to MDV and terrain were random events. Clearly, these events are highly correlated in space and time and this presentation examines methods for removing these assumptions which results in an improved model of system performance. This presentation will review our prediction methodology and describe the modifications for increasing the robustness of our methodology for determining the tracking performance prediction.


 Dr. Peter Shea has been solving problems in the area of tracking and data fusion for over 10 years. He received a B.A. in mathematics from Minnesota State University in Moorhead, MN and his M.S. and Ph.D. degrees also in mathematics from Colorado State University. His dissertation dealt with an improved solution approach for multidimensional assignment problems that arise in the multi-sensor multi-target tracking applications. After graduation he worked at Lockheed Martin ORINCON in San Diego, CA where he was a key member of the group working on the tracking of ground targets using MTI radars. He recently has joined Black River Systems Company in Lakeville, MN where he continues to work in the area of target tracking, sensor fusion, and sensor resource management.


 Lunch (sandwiches and drinks) will be provided. Please RSVP so we bring enough food.


 The meeting will be held from 12:00 to 1:00 pm in Room 20 of the Hubert H. Humphrey Center located on the West Bank of the University of Minnesota Campus (301 19th Avenue S, Minneapolis, MN). The nearest parking lots are the 19th Avenue Ramp and the 21st Avenue Ramp. Rates are $2.50 for 0-1 hour, $5.00 for 1-2 hours, and $7.00 for 2-3 hours.

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