Advanced Radar Data Fusion

Award Information
Agency:
Department of Defense
Branch
Missile Defense Agency
Amount:
$999,996.00
Award Year:
2007
Program:
STTR
Phase:
Phase II
Contract:
HQ0006-07-C-7661
Award Id:
78097
Agency Tracking Number:
B064-003-0012
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
TECHNOLOGY SERVICE CORP. (Currently TECHNOLOGY SERVICE CORPORATION)
1900 S. Sepulveda Blvd, Suite 300, Los Angeles, CA, 90025
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
053885604
Principal Investigator:
Paul Mountcastle
Principal Staff Member
(203) 268-1249
pmountcastle@tsc.com
Business Contact:
Allan Corbeil
Connecticut Operations Manager
(203) 268-1249
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.

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