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Wide-area Motion Imagery and RF Compressive Sensing Applications

Award Information

Agency:
Department of Defense
Branch:
Navy
Award ID:
Program Year/Program:
2012 / STTR
Agency Tracking Number:
N12A-026-0095
Solicitation Year:
2012
Solicitation Topic Code:
N12A-T026
Solicitation Number:
2012.A
Small Business Information
Invertix Corporation
8201 Greensboro Drive Suite 800 McLean, VA -
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 2012
Title: Wide-area Motion Imagery and RF Compressive Sensing Applications
Agency / Branch: DOD / NAVY
Contract: N00014-12-M-0385
Award Amount: $79,977.00
 

Abstract:

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.

Principal Investigator:

Brecken Uhl
Principal Investigator
(575) 646-9316
buhl@invertix.com

Business Contact:

Bryan Judd
EVP, Chief Financial Offi
(703) 813-2131
bjudd@invertix.com
Small Business Information at Submission:

Invertix Corporation
8201 Greensboro Drive Suite 800 McLean, VA -

EIN/Tax ID: 541925476
DUNS: N/A
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
Los Alamos National Labs
Mailstop C333
Los Alamos, NM 87545-
Contact: Steven Brumby
Contact Phone: (505) 667-6534