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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:
2001 / 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
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2001
Title: Elimination of Ground Moving Target Returns from the Training Data Set in Adaptive Radars
Agency / Branch: DOD / DARPA
Contract: DAAH0101CR154
Award Amount: $98,996.00


Space time adaptive processing (STAP) plays a very important role in theeffectiveness of GMTI radar. STAP offers the potential to detect slow movingground vehicles that would otherwise be obscured by strong background clutterfor systems employing conventional beamforming. In high target densityenvironments, however, the radar data used to train the STAP algorithm willgenerally contain returns from ground vehicles causing the adaptive algorithmto cancel targets of interest as well as the ground clutter. The focus ofthe proposed research is to develop STAP algorithms that are robust to theproblems associated with vehicles in the training data. The proposed algorithmswill be tested using ISL's site-specific radar simulation capabilitieswhich capture the effects of realistic terrain and ground traffic.Successful completion of this program will result in a suite of STAP algorithmswith improved robustness to the problems associated with GMTI radar operationin high target density environments. The ability to detect, track, and engageground vehicles in these environments will significantly enhance the effectivenessof U.S. forces on the battlefield of the future. It is envisioned that algorithmsenabling this capability will have broad application and commercializationpotential within the various DoD programs that are attempting to deliver thesecapabilities to the force. For example, opportunities lie in the existing andplanned GMTI radar programs such as JSTARS-RTIP, Global Hawk, and U2-AIP.

Principal Investigator:

Paul Techau
Vice President

Business Contact:

J.Doss Halsey
Vice President
Small Business Information at Submission:

8130 Boone Blvd. Suite 500 Vienna, VA 22182

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