Mitigation of Radar Clutter Using Algorithmic Techniques

Award Information
Agency:
Department of Defense
Amount:
$999,957.00
Program:
SBIR
Contract:
W91260-09-C-0010
Solitcitation Year:
2007
Solicitation Number:
2007.3
Branch:
Missile Defense Agency
Award Year:
2009
Phase:
Phase II
Agency Tracking Number:
B073-030-0152
Solicitation Topic Code:
MDA07-030
Small Business Information
Technology Service Corporation
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 D Mountcastle
 Corporate Senior Staff
 (203) 268-1249
 paul.mountcastle@tsc.com
Business Contact
 Allan Corbeil
Title: Connecticut Operations Ma
Phone: (203) 268-1249
Email: acorbeil@tsc.com
Research Institution
N/A
Abstract
In Phase I, TSC developed a clutter mitigation technique that will allow radars of the BMDS to better detect, track and discriminate targets in the presence of tumbling dipole clutter and jamming countermeasures. The clutter mitigation technique is based on a novel adaptive signal processing (generalized STAP) algorithm that discriminates among classes of scatterers that move on general non-linear space-time paths. The generalized STAP algorithm is a novel synthesis of ideas from TSC’s successful 3D radar imaging programs with adaptive signal processing. 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. This processing will facilitate detection, 3D radar imaging and precise motion estimation of targets. In Phase II, an innovative algorithm is offered that adaptively cancels radar dipole clutter and jamming prior to target detection, for subsequent 3D radar imaging or any other type of signal processing. TSC will further mature the algorithm and quantify its performance relative to other leading clutter suppression techniques using benchmark clutter data from the Hercules CCWG.

* information listed above is at the time of submission.

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