Exploiting Multipath for Efficient Target Classification

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-12-C-0085
Agency Tracking Number: N102-139-1365
Amount: $499,998.00
Phase: Phase II
Program: SBIR
Awards Year: 2012
Solicitation Year: 2010
Solicitation Topic Code: N102-139
Solicitation Number: 2010.2
Small Business Information
52 Geiger Road, Suite 2, Rome, NY, 13441
DUNS: 806603515
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Ennis
 Principal Radar Systems E
 (315) 738-0415
Business Contact
 Walter Szczepanski
Title: President
Phone: (315) 356-1661
Email: walter.szczepanski@heliossensors.co
Research Institution
The objective of this effort is to develop innovative methods to improve the efficiency and accuracy of Radar Cross Section (RCS) based target classification by exploiting naturally occurring multipath signals. Our goal is to develop a mathematical basis of the multipath exploitation concepts to be incorporated into an analytical model which will be used to prove (or reject) the utility of the approach. We are developing promising approaches incorporating multipath isolation processing and compressive sensing techniques to reconstruct the target"s free-space scattering behavior. In addition, we plan to utilize electromagnetic-based multipath modeling as an integral part of our Phase II research. Ultimately, we will use experimentation, in which live data from a controlled multipath environment is collected and processed off-line to develop the RCS signature of an actual target. The techniques to be developed will provide surveillance and tracking radars, or similar radars, improved RCS based target classification by exploiting naturally occurring multipath. Our focus during this Phase II effort will be on low frequency UHF surveillance radar applications.

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

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