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

Award Information

Department of Defense
Defense Advanced Research Projects Agency
Award ID:
Program Year/Program:
2002 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Information Systems Laboratories, Inc.
10070 Barnes Canyon Road San Diego, CA 92121-2722
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 2002
Title: Elimination of Ground Moving Target Returns from the Training Data Set in Adaptive Radars
Agency / Branch: DOD / DARPA
Contract: DAAH01-02-C-R177
Award Amount: $249,941.00


"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."

Principal Investigator:

Jameson Bergin
Research Engineer

Business Contact:

Paul Techau
Vice President
Small Business Information at Submission:

Information Systems Laboratories, Inc.
6370 Nancy Ridge Drive San Diego, CA 92121

EIN/Tax ID: 541198316
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No