Enhanced Standoff Detection of Personnel Intrusions using Seismic Sensors

Award Information
Agency:
Department of Defense
Branch
Army
Amount:
$69,996.00
Award Year:
2007
Program:
SBIR
Phase:
Phase I
Contract:
W912HZ-08-C-0005
Award Id:
81505
Agency Tracking Number:
A072-122-0807
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
1551 Forbes St., Fredericksburg, VA, 22405
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
198180937
Principal Investigator:
Barry Jones
Technical Director
(540) 373-2374
bjones@mcqinc.com
Business Contact:
Keith Armstrong
Chief Operating Officer
(540) 373-2374
karmstrong@mcqinc.com
Research Institution:
n/a
Abstract
The proposed SBIR will advance the state of the art in seismic algorithms for use in unattended ground sensors (UGS) for the detection of personnel. McQ will build upon its extensive experience with seismic UGS sensors. We will use our OmniSense system as a platform for the demonstration of this advanced capability. We will start with several advanced algorithms that have already be identified and evaluated both by us and by others as a baseline. To this baseline we will add other algorithms that have not yet been evaluated. This group of detection algorithms will first be evaluated using our library of seismic data and one or more of our UGS simulator systems. Based upon the simulation results, we will then evaluate them experimentally in the field on our OmniSense UGS systems. We will also add features that will reject seismic sources that are identified by the user as nuisances or sources that are of no interest to the user through signal processing that identifies these sources their seismic signal characteristics. We will further use 3 axis geophones and a small geophone array to demonstrate the ability to reject signals from a user designated direction or area.

* information listed above is at the time of submission.

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