Speaker: Lisa Ehrman
Title:Automatic Target Recognition Using Passive Radar and a Coordinated Flight Model
Date:April 04, 2003
Time:3:00 pm
Location:GCATT Room 325
Abstract:

Passive radar systems have become operationally attractive in recent years, due to their ability to locate and track targets while remaining covert.  The abilities of these systems would be enhanced by the addition of automatic target recognition capabilites.  The goal of my research is to demonstrate that this can be accomplished through the use of a coordinated flight model and examination of the target's radar cross section (RCS). 

For the purpose of this research, RCS is computed using the Fast Illinois Solver Code (FISC).  It is further scaled to account for propagation losses and antenna gain, which are modeled by the Advanced Refractive Effects Prediction (AREPS) and Numerical Electromagnetic Code (NEC2), respectively.

Biography:

Lisa Ehrman received a Bachelor's of Electrical Engineering from the University of Dayton in 2000.  She then worked for MacAulay Brown, Inc., a  Dayton-based engineering firm, for the following 2 years, supporting both their Dayton and Huntsville offices. 

During those 2 years, Lisa worked on the Suite of Integrated Infrared Countermeasures (SIIRCM) program, a missile warning system funded by the U.S. Army.  Her primary role was in the test and evaluation group.  When she wasn't trampsing around the desert supporting live missile firings, she kept busy working with the modeling and simulation group in Huntsville. 

Lisa is currently a first-year grad student at Georgia Tech.  Her research topic is "Automatic Target Recognition Using Passive Radar and a Coordinated Flight Model", and her advisor is Dr. Aaron Lanterman.

Slides: sem10_04_04_2003_Lisa_Ehrman.ppt