Advanced Radar Data Fusion

Award Information
Agency:
Department of Defense
Amount:
$99,983.00
Program:
SBIR
Contract:
HQ0006-06-C-7475
Solitcitation Year:
2005
Solicitation Number:
2005.3
Branch:
Missile Defense Agency
Award Year:
2006
Phase:
Phase I
Agency Tracking Number:
053-0092
Solicitation Topic Code:
MDA05-038
Small Business Information
TECHNOLOGY SERVICE CORP.
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
053885604
Principal Investigator
 Paul Mountcastle
 Principal Staff Member
 (203) 268-1249
 pmountcastle@tsc.com
Business Contact
 Allan Corbeil
Title: Conneticut Operations Manager
Phone: (203) 268-1249
Email: acorbeil@tsc.com
Research Institution
N/A
Abstract
TSC will demonstrate multi-sensor three-dimensional Inverse Synthetic Aperture Radar (ISAR) imaging using both coherent and non-coherent wideband radar networks. TSC will extend its innovative algorithm called Space-Time Radar Imaging that images scatterers attached to a rigid body by modeling rotations with Euler's equations of motion and produces a precise estimate of the complete target motion state. TSC's technique for 3D radar imaging can potentially benefit from multisensor operation by exploiting the greater angular diversity afforded by geographically separated radars, to form an enhanced synthetic aperture as compared to a single radar. This greater angular diversity can produce three-dimensional images and unambiguously determine target motion over the widest possible set of missile engagement conditions. The extension of TSC's algorithm to multiple sensors also affords a significant opportunity for improved discrimination by combining signatures from diverse look geometries and bands. TSC will demonstrate 3D radar imaging for a coherent distributed network of next-generation forward-based X-band radars and a non-coherent network of sea-based radars with sufficient communication bandwidth to exchange the target motion state. TSC will also demonstrate super-resolution 3D radar imaging by fusing data from two radars operating at different frequency bands to create a synthetic ultra-wideband radar, via sparse band processing.

* information listed above is at the time of submission.

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