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Compressive Sampling Applied to Millimeter-wave Single Detector Imagers

Award Information
Agency: Department of Defense
Branch: Army
Contract: W31P4Q-14-C-0146
Agency Tracking Number: A14A-003-0139
Amount: $150,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A14A-T003
Solicitation Number: 2014.A
Solicitation Year: 2014
Award Year: 2014
Award Start Date (Proposal Award Date): 2014-08-26
Award End Date (Contract End Date): 2015-05-01
Small Business Information
9063 Bee Caves Road, Austin, TX, -
DUNS: 625120902
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 Russell Austin
 Principal Investigator
 (512) 263-2101
Business Contact
 Monte Fellingham
Title: Contracts Administrator
Phone: (512) 263-2101
Research Institution
 Missouri University of Science&Tech
 Reza Zoughi
 224 Emerson Electric Co. Hall
301 W. 16th ST.
Rolla, MO, 65509-6524
 (573) 341-4656
 Nonprofit college or university
Millimeter and terahertz wave imaging can image objects behind or within other objects. However, current equipment that does this quickly is expensive, and affordable equipment is prohibitively slow. Researchers at Missouri S & T have successfully developed and demonstrated several innovative millimeter wave imaging systems capable of real-time, high-resolution imaging at frequencies up to 150 GHz. These systems use various synthetic aperture radar (SAR) imaging algorithms; advanced Compressive Sensing (CS) techniques; and random data sampling. Combining these various individual advances can reduce the time to image by as much as 85%. These advances were then combined with innovative imaging hardware and under-sampling to create a system capable of real-time imaging of features hidden inside solid objects. These images have essentially similar resolution to images that take many hours to create. In this proposed Phase I STTR effort, TRI/Austin will team with Missouri S & T to transfer these technologies to the Army by customizing the prototype for the Army"s needs; demonstrating its efficacy on a variety of materials; specifying the most useful compression algorithms, system hardware, and system software; and providing an initial design of the system that would be delivered in a Phase II effort.

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

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