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A New Automated Undersea Wireless Sensor Detection and Fusion System

Award Information

Department of Defense
Award ID:
Program Year/Program:
2004 / STTR
Agency Tracking Number:
Solicitation Year:
Solicitation Topic Code:
Solicitation Number:
Small Business Information
Migma Systems Inc.
1600 Providence Highway Walpole, MA -
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Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Phase 1
Fiscal Year: 2004
Title: A New Automated Undersea Wireless Sensor Detection and Fusion System
Agency / Branch: DOD / NAVY
Contract: N00014-04-M-0232
Award Amount: $69,999.00


Acoustic sensors are the primary sensor of choice to detect threat submarines operating below periscope depth. The increasingly quieter nuclear threat and the diesel-electric-on-battery threat limits traditional narrow-band processing, yielding shorter detection ranges and requires more array gain via more sensors and adaptive signal processing to counter the quieting trends. One of the key functionalities of embedded sensor networks is to detect events of interest efficiently. Traditional event services allow for the definition of events including correlated events, registering for events, and notification of events upon its occurrence. In embedded sensor networks, events are not binary, but are based on sensor fusion from several noisy sensors in a complicated environment. In Phase I, we propose to develop wireless network services focusing on functions such as real-time, energy efficiency, reliability, and security. In particular, we propose to develop a location-aware event service which takes both temporal and spatial issues into consideration for accuracy. For the event detection, we propose a new cluster trending analysis method which is sensitive to small abnormal signals. To classify undersea quieter targets, we propose to develop a set of hierarchical Gaussian Mixture classifiers and a multi-classifier fusion mechanism based on the statistical evidence theory.

Principal Investigator:

Bo Ling
President & CEO

Business Contact:

Bo Ling
President & CEO
Small Business Information at Submission:

1600 Providence Highway Walpole, MA 02081

EIN/Tax ID: 460488542
Number of Employees:
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
Research Institution Information:
University of Virginia
Department of Computer Science, 151 Engineer's Way, P.O. Box
Charlottesville, VA 22904
Contact: Sang H. Son
Contact Phone: (804) 982-2205
RI Type: Nonprofit college or university