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Navy Applications of 4th Generation Deeply Coupled Computing Architectures

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-06-M-0207
Agency Tracking Number: N064-005-0422
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N06-T005
Solicitation Number: N/A
Timeline
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-08-01
Award End Date (Contract End Date): 2007-05-31
Small Business Information
5731 W. Las Positas Boulevard
Pleasanton, CA 94588
United States
DUNS: 610210809
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Mark Scheitrum
 V.P., Research and Engine
 (925) 224-9920
 m.scheitrum@cputech.com
Business Contact
 Tom Tracy
Title: Director, Contracts
Phone: (954) 568-2425
Email: ttracy@cputech.com
Research Institution
 UNIV. OF MARYLAND
 Pamela Abshire
 
Inst. for Systems Research 135
College Park, MD 20742
United States

 (301) 405-6629
 Nonprofit College or University
Abstract

Warfare is changing; there is a need for airborne and space-based sensor systems to detect small, highly maneuverable targets against a strong clutter background in the presence of jamming. Space-Time Adaptive Processing (STAP) is a new signal processing technique for advanced radar systems that allows for performance enhancements over conventional approaches. Current power, weight, and size constraints make the real-time implementation of full degrees-of-freedom STAP techniques on airborne/spaceborne platforms impractical. CPU Technology and University of Maryland Institute for Systems Research propose to investigate and demonstrate the advantages of applying 4th generation deeply coupled programmable SOC technology, called the QX4, and other adaptive hardware elements to provide airborne platforms with the computing capacity required to perform real-time STAP techniques. It provides 8.5 GFlops of 64-bit performance at only 8 watts of power. The adaptive hardware will utilize floating gate technology to accelerate STAP radar processing. We will code a STAP algorithm and execute the software on a single x86 microprocessor, a QX4 array, and a QX4 array with adaptive hardware to measure their relative performance. Other metrics will include size, weight, power and accuracy. We will also investigate adding STAP cost-effectively to existing radar processors. BENEFITS: Space-Time Adaptive Processing (STAP) enhances the ability of radars to detect targets that might otherwise be obscured by clutter or by jamming using a two-dimensional filtering technique. This capability enables a radar to see items under vegetation and provides much improved information in urban scenarios where clutter is extremely high and the targets are small. Our goal is to make a high speed real-time STAP radar processor small enough and with minimal power so that STAP can be used by traditional airborne sensor platforms such as the E-2C as well as smaller aircraft such as fighters, helicopters and UAVs. It could potentially be used for the larger missiles as well. Multidimensional processing such as found with STAP is used in many applications including mobile communications, video processing, medical imaging and radar processing. Sensor fusion and autonomous operation could also potentially benefit from the compact performance throughput of QX4 and adaptive hardware techniques.

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

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