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Advanced Radar Data Fusion

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-06-C-7526
Agency Tracking Number: B064-003-0012
Amount: $99,948.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: MDA06-T003
Solicitation Number: N/A
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-09-06
Award End Date (Contract End Date): 2007-03-06
Small Business Information
1900 S. Sepulveda Blvd Suite 300
Los Angeles, CA 90025
United States
DUNS: 053885604
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Paul D Mountcastle
 Principal Staff Member
 (203) 268-1249
Business Contact
 Allan Corbeil
Title: Connecticut Operations Manager
Phone: (203) 268-1249
Research Institution
 Nathan Goodman
ECE Department PO BOX 210104
Tucson, AZ 85721
United States

 (520) 621-4462
 Nonprofit College or University

The TSC team proposes to develop a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers. The new generalized formalism is applied to the problem of 3D ISAR imaging of the reentry vehicle (RV) or another object in the ballistic missile threat complex that suppresses radar dipole clutter, using multiple ground-based radars operating at the same or different frequencies. The generalized STAP algorithm is a novel synthesis of ideas from TSC’s successful 3D radar imaging programs with the techniques of adaptive signal processing. TSC and the Sensor and Array Processing Laboratory of the University of Arizona will demonstrate the new Generalized STAP signal processing technique for two important cases: The first is an ultrawideband scenario involving S- and X-band radars that operate coherently to synthesize an ultra-wideband 3D image via Sparse Band Processing (SBP) technology. The second is a geographically distributed coherent constellation of next-generation ground based X-band radars. In Phase I, TSC will simulate ultra-wideband and multisensor radar data and develop prototype radar signal processing algorithms for these two cases.

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

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