Mitigation of Radar Clutter Using Algorithmic Techniques

Award Information
Agency: Department of Defense
Branch: Missile Defense Agency
Contract: W91260-09-C-0010
Agency Tracking Number: B073-030-0152
Amount: $999,957.00
Phase: Phase II
Program: SBIR
Awards Year: 2009
Solicitation Year: 2007
Solicitation Topic Code: MDA07-030
Solicitation Number: 2007.3
Small Business Information
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
 Corporate Senior Staff
 (203) 268-1249
Business Contact
 Allan Corbeil
Title: Connecticut Operations Ma
Phone: (203) 268-1249
Research Institution
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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