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Heterodyne Correlation Random Noise Radar for Through Wall and Building Interior Imaging

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9550-06-C-0101
Agency Tracking Number: F064-024-0396
Amount: $100,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF06-T024
Solicitation Number: N/A
Solicitation Year: 2006
Award Year: 2006
Award Start Date (Proposal Award Date): 2006-09-28
Award End Date (Contract End Date): 2007-06-28
Small Business Information
15400 Calhoun Drive, Suite 400
Rockville, MD 20855
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Ram Narayanan
 Professor of Electrical Engineering
 (814) 863-2602
Business Contact
 Mark James
Title: Contracts & Proposals Manager
Phone: (301) 863-2602
Research Institution
 Ram M Narayanan
202 Electrical Engineering E.
University Park, PA 16802
United States

 (814) 863-2602
 Nonprofit College or University

Recent terrorist activities and law-enforcement situations involving hostage situations underscore the need for effective through-the-wall surveillance (TWS). Current building interior imaging systems are based on short-pulse waveforms, which are easily recognizable by the intelligent adversary who may employ countermeasures to confound detection. We propose a coherent continuous-wave ultrawideband random noise radar architecture based on heterodyne correlation and adaptive software radar techniques for covertly imaging obscured targets and interfaces. The proposed approach has the following two main advantages over competing systems: (i) random noise waveform possesses an ideal ambiguity function with separately controlled down-range and cross-range resolutions, thus providing unambiguous high resolution imaging at any distance; and (ii) random noise waveform is inherently low-probability-of-intercept (LPI), low- probability-of-detection (LPD), and anti-jam. Thus, it is an ideal candidate sensor for covert imaging of obscured regions in hostile environments. The coherency in the system can be exploited to field a fully-polarimetric system that can exploit polarization features in target recognition. Moving personnel can be detected using Doppler processing. Simulation and preliminary experimental studies not only show detection of human activity and human tracking behind walls with excellent multipath and clutter rejection, but also differences between specific activity types.

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

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