3D Radar Imaging

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-05-C-7161
Agency Tracking Number: 044-0080
Amount: $99,962.00
Phase: Phase I
Program: SBIR
Awards Year: 2005
Solicitation Year: 2004
Solicitation Topic Code: MDA04-155
Solicitation Number: 2004.4
Small Business Information
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
DUNS: 053885604
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Paul D Mountcastle
 Principal Staff Member
 (203) 261-3508
Business Contact
 Allan Corbeil
Title: Manager Connecticut Operations
Phone: (203) 268-1249
Email: acorbeil@tsc.com
Research Institution
The purpose of this Phase I effort is to introduce a new 3D imaging algorithm, to explore the range of circumstances within BMD where the technique can be successfully employed, and to investigate associated data processing requirements. MDA seeks a technique for exploiting its radar assets to create high resolution three-dimensional Inverse Synthetic Aperture (3D ISAR) images of objects in a ballistic missile threat complex, providing substantially more information than is currently available, to allow better discrimination of the threatening reentry vehicle (RV) from non-threatening objects. TSC's new technology provides a physics-based method for producing three-dimensional ISAR images from radar measurements of a target at multiple azimuths and elevations. TSC will demonstrate an innovative coherent approach in which scatterers fixed to the skin of a rigid body are imaged without the conventional requirement that they move in straight lines or with constant phase history with respect to the radar. Instead, the phase trajectories are modeled precisely using solutions of Euler's torque-free equations of motion. Potential advantages of the novel approach include reduced radar resource requirements compared to conventional snapshot ISAR imaging, discrimination of tumbling RVs, discrimination of the RV in stressing viewing geometries, and opportunities for multi-sensor data level fusion.

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

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