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Preserving Navigation Access for the War Fighter Development of an Acoustic Marine Life Watch System to Support Corps Channel Maintenance and Enhanc

Award Information
Agency: Department of Defense
Branch: Army
Contract: W912HZ-13-P-0008
Agency Tracking Number: A12A-025-0274
Amount: $99,993.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: A12a-T025
Solicitation Number: 2012.A
Solicitation Year: 2012
Award Year: 2013
Award Start Date (Proposal Award Date): 2012-11-06
Award End Date (Contract End Date): 2013-05-06
Small Business Information
44 Garfield Ave. # 2
Woburn, MA -
United States
DUNS: 053005848
HUBZone Owned: No
Woman Owned: Yes
Socially and Economically Disadvantaged: No
Principal Investigator
 Irena Lucifredi
 (617) 286-2732
Business Contact
 Irena Lucifredi
Title: President
Phone: (617) 286-2732
Research Institution
 Boston University
 Maureen Rodgers
Office of Sponsored Programs 25 Buick Street
Boston, MA 02215-
United States

 (617) 353-4365
 Nonprofit College or University

This effort is focused on establishing U.S. Army Corps leadership in preserving navigation access for the war fighter through the development and implementation of an acoustic-based sensor system to detect, track, and classify large aquatic animals. The proposed high frequency imaging active sonar system is configurable to detect, track, classify, and alert to the presence of threatened and endangered marine animals and marine mammals, including, manatees, sea turtles, sturgeon, and dolphins, at a user specified range spanning several hundreds of meters. This effort will conduct a systematic study of the effects of complex underwater acoustic environments, as well as those of the target characteristics, on the performance of the proposed multibeam imaging sonar system. Preliminary testing of the hardware equipment and a cursory data-collection in a real-world environment will be performed and metrics such as detection range, resolution, water-column coverage, reverberation level, signal excess, and ease of deployment will be used to evaluate the system"s performance. Based on the system properties, on diverse environments, and on target characteristics, the work will identify and pre-select appropriate detection, tracking, and classification algorithms capable of delivering performance as specified by pre-determined detection rate, false alarm rejection rate, and classification accuracy metrics.

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

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