Enhanced Standoff Detection of Personnel Intrusions using Seismic Sensors
Agency / Branch:
DOD / ARMY
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.
Small Business Information at Submission:
1551 Forbes St. Fredericksburg, VA 22405
Number of Employees: