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Elimination of Ground Moving Target Returns from the Training Data Set in Adaptive Radars

Award Information
Agency: Department of Defense
Branch: Defense Advanced Research Projects Agency
Contract: DAAH01-02-C-R177
Agency Tracking Number: 01SB1-0134
Amount: $249,941.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N/A
Solicitation Number: N/A
Solicitation Year: N/A
Award Year: 2002
Award Start Date (Proposal Award Date): N/A
Award End Date (Contract End Date): N/A
Small Business Information
6370 Nancy Ridge Drive
San Diego, CA 92121
United States
DUNS: 074802976
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Jameson Bergin
 Research Engineer
 (703) 448-1116
Business Contact
 Paul Techau
Title: Vice President
Phone: (703) 448-1116
Research Institution

"Space time adaptive processing (STAP) plays a very important role in the effectiveness of GMTI radar. STAP offers the potential to detect slow moving ground vehicles that would otherwise be obscured by strong background clutter for systems employingconventional beamforming. In high target density environments, however, the radar data used to train the STAP algorithm will generally contain returns from ground vehicles causing the adaptive algorithm to cancel targets of interest as well as the groundclutter. The focus of the proposed research is to develop STAP algorithms that are robust to the problems associated with vehicles in the training data. The proposed algorithms will be tested using both ISL's site-specific radar simulation capabilitiesas well as experimental GMTI radar data. Implementation issues including computational complexity will be addressed under the proposed program."

* Information listed above is at the time of submission. *

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