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
Amount:
$249,941.00
Award Year:
2002
Program:
SBIR
Phase:
Phase II
Contract:
DAAH01-02-C-R177
Agency Tracking Number:
01SB1-0134
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
Information Systems Laboratories, Inc.
6370 Nancy Ridge Drive, San Diego, CA, 92121
Hubzone Owned:
N
Socially and Economically Disadvantaged:
N
Woman Owned:
N
Duns:
074802976
Principal Investigator:
Jameson Bergin
Research Engineer
(703) 448-1116
jsb@isl-inc.com
Business Contact:
Paul Techau
Vice President
(703) 448-1116
pmt@isl-inc.com
Research Institution:
n/a
Abstract
"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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