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Advanced Radar Data Fusion

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: HQ0006-07-C-7661
Agency Tracking Number: B064-003-0012
Amount: $999,996.00
Phase: Phase II
Program: STTR
Solicitation Topic Code: MDA06-T003
Solicitation Number: N/A
Solicitation Year: 2006
Award Year: 2007
Award Start Date (Proposal Award Date): 2007-09-17
Award End Date (Contract End Date): 2009-09-17
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

In Phase I, TSC and the University of Arizona developed a new generalized Space-Time Adaptive Processing (Generalized STAP) algorithm that discriminates among classes of scatterers that move on generalized space-time paths. The new formalism was applied to three-dimensional (3D) imaging of objects in the missile threat complex while suppressing radar dipole clutter by means of adaptive complex weights over the fundamental radar measurement dimensions of time, frequency and element. Demonstrations were given using a single ground-based or sea-based radar and a next-generation coherent radar network. The generalized STAP algorithm is a novel synthesis of ideas from TSC's successful 3D radar imaging programs with adaptive signal processing. In Phase II, an innovative algorithm is offered that adaptively cancels tumbling radar dipole clutter prior to target detection, for subsequent 3D radar imaging. The algorithm is unlike techniques that attempt to `burn through' clutter by using a combination of very large relative bandwidth, ultra-long coherent integration and exhaustive hypothesis testing. Instead, it adaptively produces deep detection nulls in a subspace of the joint image-motion space of ballistic target scatterer motion to facilitate detection, 3D radar imaging and precise motion estimation of targets, while selectively nulling returns from dipoles based on their physical characteristics.

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

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