SBIR-STTR Award

Step-Frequency Ground Penetrating Radar for Location and Evaluation of In-Roadway Sensors
Award last edited on: 9/10/2020

Sponsored Program
SBIR
Awarding Agency
DOT
Total Award Amount
$1,816,453
Award Phase
2
Solicitation Topic Code
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Principal Investigator
Michael Scott

Company Information

Starodub Inc

3504 Littledale Road
Kensington, MD 20895
   (301) 929-0964
   info@starodub.com
   www.starodub.com
Location: Single
Congr. District: 08
County: Montgomery

Phase I

Contract Number: ----------
Start Date: ----    Completed: ----
Phase I year
2006
Phase I Amount
$100,000
A nondestructive evaluation method is proposed for imaging in-roadway sensors, anticipated to allow them to be located and evaluated in-situ. The technique uses innovative step frequency GPR hardware together with new data collection and data processing methods to provide high-resolution images of in-roadway sensor features. Recent work by the proposed research team has already demonstrated imaging of subsurface civil infrastructure elements such as reinforcing steel and drainage pipes. This proposal describes a procedure to achieve super-resolution imaging of substantially smaller features, including sealant filled saw cuts in highway pavement and embedded 14 gauge loop sensor wires. Innovative high frequency step frequency groung pentrating radar hardware proposed for this application is expected to be available for th study. Combining this hardware with unique data collection procedures and super-resolution data processing techniques will produce an advanced process, valuable to commercial and government interests.

Phase II

Contract Number: ----------
Start Date: ----    Completed: ----
Phase II year
2008
(last award dollars: 2011)
Phase II Amount
$1,716,453

A nondestructive evaluation method is proposed for imaging in-roadway sensors, anticipated to allow them to be located and evaluated in-situ. The techniques uses innovative step frequency GPR hardware together with new data collection and data processing methods to provide high-resolution images of in-roadway sensor features. Recent work by the proposed research team has already demonstrated imaging of subsurface civil infrastructure elements such as reinforcing steel and drainage pipes. This proposal describes a procedure to achieve super-resolution imaging of substantially smaller features, including sealant filled saw cuts in highway pavement and embedded 14 gauge loop sensor wires. Innovative high frequency ground penetrating radar hardware proposed for this application is expected to be available for the study. Combining this hardware with unique data collection procedures and super-resolution data processing techniques will produce an advanced process, valuable to commercial and government interests.