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Meeting Number:   28

April 18, 2012


Topic

Introduction to Space-Time Adaptive Processing (STAP) for Airborne Radar


Speaker

Christopher M. Teixeira, Ph.D.
Consulting Systems Engineer
Northrop Grumman


Date

Wednesday, April 18, 2012


Time

5:30 PM:   Snacks
6:00 PM:   Talk begins


Location

National Electronics Museum (NEM)
1745 W. Nursery Road, Linthicum, MD 21090
410-765-0230
http://www.nationalelectronicsmuseum.org


Registration

https://meetings.vtools.ieee.org/meeting_view/list_meeting/11833

To register for this meeting, go to the above link. Click on the ‘Click Here to Register’ button. You need to fill in the following information: Name, Member Number (if IEEE member), City, Country, State/Province, E-mail Address. After you fill in the information, click on the ‘Register’ button to register.


Please Respond To

ronald_aloysius@ieee.org

Please respond to ronald_aloysius@ieee.org if you are planning to join us afterwards for dinner so I can make reservations. Only the speaker’s dinner is paid for. The rest of us need to pay our own way.


Abstract

Space-time adaptive processing (STAP) is an important technology for enhancing the detection of slow movers from moving radar platforms in the presence of complex interference. In this introductory overview, we motivate why STAP is critical in such scenarios and highlight basic STAP concepts, techniques, metrics and performance using a multi-channel sensor array with a particular focus on mitigating the impact of ground clutter returns on target detection. The progression from theoretically optimal space-time processing to practically implementable reduced degree-of-freedom STAP methods is surveyed, with useful rules-of-thumb and simple, but effective, techniques highlighted. A performance and efficiency comparison of several STAP approaches is presented for a typical airborne simulated scenario. The talk concludes with a partial list of advanced topics in STAP where research is ongoing.


Biography

Dr. Chris Teixeira is currently a Consulting Engineer in the Radar Systems Engineering group at Northrop Grumman Electronic Systems in Linthicum, MD, where he works on signal processing algorithms for radar applications including advanced space-time adaptive processing (STAP) techniques for complex interference environments. Specific areas of development include bistatic radar, space-based radar, airborne GMTI / DMTI, MIMO radar, STAP in non-stationarity environments, knowledge-aided STAP and STAP efficiency optimization. Dr. Teixeira has a Ph.D. in Nuclear Engineering from MIT and a B.A.Sc. in Engineering Science from the University of Toronto. He is the author of 15 publications in the area of STAP, holds seven granted US patents, and four Northrop Grumman New Technology Awards.



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