Exploiting Multipath for Efficient Target Classification

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-10-C-0518
Agency Tracking Number: N102-139-1365
Amount: $149,980.00
Phase: Phase I
Program: SBIR
Awards Year: 2010
Solicitation Year: 2010
Solicitation Topic Code: N102-139
Solicitation Number: 2010.2
Small Business Information
Helios Remote Sensing Systems, Inc.
101 Bleecker Street, Utica, NY, 13501
DUNS: 806603515
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 William Ennis
 Principal Systems Enginee
 (315) 738-0415
 william.ennis@heliossensors.com
Business Contact
 Walter Szczepanski
Title: President
Phone: (315) 732-0101
Email: walter.szczepanski@heliossensors.co
Research Institution
N/A
Abstract
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 I 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 I effort will be on low frequency UHF surveillance radar applications.

* information listed above is at the time of submission.

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