Wide-area Motion Imagery and RF Compressive Sensing Applications

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-12-M-0385
Agency Tracking Number: N12A-026-0095
Amount: $79,977.00
Phase: Phase I
Program: STTR
Awards Year: 2012
Solicitation Year: 2012
Solicitation Topic Code: N12A-T026
Solicitation Number: 2012.A
Small Business Information
Invertix Corporation
8201 Greensboro Drive, Suite 800, McLean, VA, -
DUNS: 075132543
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Brecken Uhl
 Principal Investigator
 (575) 646-9316
Business Contact
 Bryan Judd
Title: EVP, Chief Financial Offi
Phone: (703) 813-2131
Email: bjudd@invertix.com
Research Institution
 Los Alamos National Labs
 Steven Brumby
 Mailstop C333
Los Alamos, NM, 87545-
 (505) 667-6534
 Federally funded R&D center (FFRDC)
The Global Information Grid (GIG) has access to massive amounts of data from a vast number of sensors and sources. Extracting information from this quantity of sensor data is a significant challenge. Sensor data is often large, which taxes limited-bandwidth GIG interconnections. Current approaches rely almost entirely on end-user analytics, which is inefficient in that it requires raw data to reach the analysts from distant nodes of the GIG before information is extracted. The proposed effort overcomes this issue, both saving limited bandwidth and improving analytic efficiency by extracting information close to the source. We apply concepts of both compressive sensing (CS) and compressive processing (CP) to the information-generating chain that flows from the sensor through the GIG to analytical resources, and then back to the GIG as a product. Objective, quantitative means are used to optimize state-of-the-art CS and CP services deployed at locations throughout the distributed sensor-GIG-analyst network. The result is a Distributed Compressive Sensing and Processing (DCSP) framework with a comprehensive joint application of CS and CP to a large, deployed network.

* information listed above is at the time of submission.

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