Multilayered Wall Characteristic Extraction for Through Wall Radar Systems

Award Information
Agency: Department of Defense
Branch: Army
Contract: W15P7T-11-C-A012
Agency Tracking Number: A102-084-0875
Amount: $69,886.00
Phase: Phase I
Program: SBIR
Awards Year: 2011
Solicitation Year: 2010
Solicitation Topic Code: A10-084
Solicitation Number: 2010.2
Small Business Information
3 Red Bird Lane, Conshohocken, PA, -
DUNS: 962845686
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 Benita Luttcher
 (610) 299-9659
Business Contact
 Benita Luttcher
Title: President
Phone: (610) 299-9659
Research Institution
The primary objective of this Phase I project is to develop radar-based techniques and algorithms to accurately estimate the parameters of walls, such as dielectric constant, conductivity (or loss-tangent) and thickness, as well as to devise methods that can characterize inhomogeneous walls by detecting presence of foiled-back insulation, reinforced wires/studs, water pipes, and enclosed air-gaps, e.g., in hollow concrete (cinder-block) walls. The wall parameter estimation can be performed either in time-domain (suitable for modulated pulse or impulse radar operation) or in frequency-domain (suitable for CW or step-frequency radar operation). To achieve this we propose to apply and compare the accuracy and robustness of several alternative techniques including time-domain Reflectometry, Least-Squares method, Singularity Expansion Method (SEM), Evolutionary based optimization and Ellipsometry. In addition, we will investigate the following techniques for characterization of inhomogeneous walls: i) a technique based on the frequency signature of calibrated wall"s reflected signal to detect the presence of conductor a back-plated wall, ii) a hybrid of"effective"parameter estimation and subsurface imaging to characterize and image existence and location of re-bars, air-gaps and/or other wall"s interior structures, and iii) use of cross-polar scattered fields or other polarization-based radar techniques for detection of reinforced wires or water pipes and their orientations.

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

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