High Efficiency SIGINT Collection

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-13-C-0096
Agency Tracking Number: N122-121-0614
Amount: $79,987.00
Phase: Phase I
Program: SBIR
Awards Year: 2013
Solicitation Year: 2012
Solicitation Topic Code: N122-121
Solicitation Number: 2012.2
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
Signals intelligence systems use the established Shannon-Nyquist approach of signal acquisition, setting a sampling requirement based on data rate. This sampling approach is generating operationally impractical amounts of data, most of which goes unused or arrives late. The conventional rate of data-to-information (DTI) conversion is low, and there exists high demand for a solution. A new approach to signal sampling achieves efficient DTI conversion. Our approach exploits mathematical sparsity to produce high accuracy information sensing (ISENSE) with reduced sampling rates. This technique employs the relatively new science of compressive sensing (CS) and compressive processing (CP), which extract information with fewer samples compared than when sampling at the Nyquist rate. As an extension to known CS techniques, ISENSE continuously validates sparsity patterns, taking CS from theory to a deployable technology. We apply ISENSE to the intercept, detection, characterization, classification and identification of emitters. We will illustrate, by qualitative and quantitative measures, how the ISENSE capability maintains DTI accuracy and detection probabilities despite reduced sampling rates, thus improving Naval airborne SIGINT data collection, storage, transport, and processing efficiency.

* information listed above is at the time of submission.

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