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Standoff Coherent Optical Detection of Acoustic Signals (SCODAS)

Award Information
Agency: Department of Defense
Branch: Air Force
Contract: FA9453-13-M-0057
Agency Tracking Number: F12B-T02-0132
Amount: $150,000.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: AF12-BT02
Solicitation Number: 2012.B
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2013-02-19
Award End Date (Contract End Date): 2013-11-22
Small Business Information
15400 Calhoun Drive Suite 400
Rockville, MD -
United States
DUNS: 161911532
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Eric Doorn
 Chief Scientist
 (301) 294-5229
Business Contact
 Mark James
Title: Director, Contracts&Proposals
Phone: (301) 294-5221
Research Institution
 University of Maryland
 Christopher C Davis
University of Maryland
College Park, MD 20742-
United States

 (301) 405-3637
 Nonprofit College or University

ABSTRACT: Detection of clandestine tunnels and underground facilities is a continuing interest of the US DoD and Customs and Border Protection. Research continues in an attempt to find functional and reliable sensing methods, including seismic methods. Dynamic activity in tunnels emits mechanical energy that propagates away in seismic waves. Resulting ground vibrations can be measured at offset distances and these signals can be used in sensing algorithms for detection, location, and discrimination of the activity. Current detection methods rely largely on emplaced sensors (such as geophones). To drastically improve stand-off and surveillance coverage, space-based (or perhaps airborne) surveillance is required. To address this critical need, IAI, along with the University of Maryland, proposes to develop a vibrometry technique for the detection from long range of very small vibrations induced in passive objects exposed to acoustic disturbances. In Phase I, we will use prior work at IAI and UMD to demonstrate the proposed design, and evaluate the feasibility of the proposed approach. BENEFIT: The proposed technology can be applied within DoD for detection and classification of human behavior in underground structures, and for detection and tracking of vehicles, and dismounts. In the law enforcement community the technology could be used for search and rescue, and surveillance.

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

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