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Solid-State Spray Forming of Near Net Shape Titanium Alloy Components

Award Information

Agency:
Department of Defense
Branch:
Army
Award ID:
44925
Program Year/Program:
1999 / SBIR
Agency Tracking Number:
A982-0681
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
INNOVATIVE TECHNOLOGY, INC.
P.O. Box 8392 Las Cruces, NM 88006
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 1
Fiscal Year: 1999
Title: Solid-State Spray Forming of Near Net Shape Titanium Alloy Components
Agency / Branch: DOD / ARMY
Contract: A982-0681
Award Amount: $69,751.00
 

Abstract:

Not Available We describe a new approach for identification and location of buried non-metallic mines from backscatter data from a wide-footprint microwave source. A method based on the Feynman diagram model is described that permits discrimination between multiply scattered field data and data arising fro discrete scatterers such as mines. The limited backscatter data associated with discrete but multiply scattering objects is then processed using a nonlinear filter to remove multiple scattering effects. The resulting poorly resolved estimate for each discrete object is further processed using our spectral estimation technique, the Prior Discrete Fourier Transform (PDFT). This technique requires that some prior knowledge about the targets, i.e. size, approximate shape. Using this PDFT information allows discrimination between targets based on a simple calculation of the magnitude of the coefficients of the PDFT estimate derived from each possible choice of prior knowledge. In Phase I we propose to develop the first version of a complete software package enabling mine detection based on these models. We will conduct trials of the effectiveness of our approach applied to simulated and real data. We will specify a complete system, including the required radar hardware and signal processing capability, to be constructed and tested in Phase II. The proposed real-time microwave imaging algorithm is not only useful for the mine detection application, but also for application in : (1

Principal Investigator:

Ralph Tapphorn
5053829024

Business Contact:

Small Business Information at Submission:

INNOVATIVE TECHNOLOGY, INC.
P.O. Box 8392 Las Cruces, NM 88006

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No