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Next Generation ATR Algorithms and Automatic Target Recognition Algorithms and…

Award Information

Department of Defense
Defense Advanced Research Projects Agency
Award ID:
Program Year/Program:
1998 / SBIR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
1690 38th Street Boulder, CO 80301
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 2
Fiscal Year: 1998
Title: Next Generation ATR Algorithms and Automatic Target Recognition Algorithms and Terrain Mapping with FOPEN RADAR
Agency / Branch: DOD / DARPA
Contract: N/A
Award Amount: $374,618.00


Vexcel Corporation, in cooperation with Lockheed Martin Tactical Defense Systems, proposes to identify and develop next generation algorithms for automatic target recognition (ATR) using polarimetric ultra-wideband (UWB) synthetic aperature radar (SAR) data. Specifically, we will address the potential of combining the polarimetric aspects of the foliage penetrating (FOPEN) SARs with interferometric technology. Expected benefits will be improved ATR algorithms and new techniques for mapping terrain under trees, as well as potentially measuring some parameters related to tree height and density. Sensors capable of producing such data are expected to become operational in the near future for both military and civilian applications. While there has been a considerable amount of research conducted in the area of ATR using SAR data, most has focused on the application to more traditional military radar systems, specifically higher frequency systems. Some research into polarimetric aspects of the data have been carried out, as well as investigations into UWB ATR applications. To exploit the new dimensions of this data, we impose important calibration requirements on the sensor data. Specifically, we will investigate the use of calibrated phase and amplitude information available in the polarimetric scattering matrix measurements. This is required to perform accurate polarization synthesis. Throughout this work, we will focus on the eventual operational implementation of the identified new algorithms. Specific real-time applications to UWB sensors will serve as examples.

Principal Investigator:

Richard Carande

Business Contact:

Small Business Information at Submission:

4909 Nautilus Court Boulder, CO 80301

EIN/Tax ID: 840992830
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No