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
Awards Year: 2007
Solicitation Year: 2006
Solicitation Topic Code: MDA06-T003
Solicitation Number: N/A
Small Business Information
TECHNOLOGY SERVICE CORP.
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) 268-1249
 pmountcastle@tsc.com
Business Contact
 Allan Corbeil
Title: Connecticut Operations Manager
Phone: (203) 268-1249
Email: acorbeil@tsc.com
Research Institution
 UNIV. OF ARIZONA
 Nathan Goodman
 ECE Department
PO BOX 210104
Tucson, AZ, 85721
 (520) 621-4462
 Nonprofit college or university
Abstract
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.

Agency Micro-sites

SBA logo
Department of Agriculture logo
Department of Commerce logo
Department of Defense logo
Department of Education logo
Department of Energy logo
Department of Health and Human Services logo
Department of Homeland Security logo
Department of Transportation logo
Environmental Protection Agency logo
National Aeronautics and Space Administration logo
National Science Foundation logo
US Flag An Official Website of the United States Government