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Unmanned Undersea Vehicle (UUV) Detection and Classification in Harbor Environments

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-16-P-3002
Agency Tracking Number: N152-113-0180
Amount: $79,322.00
Phase: Phase I
Program: SBIR
Solicitation Topic Code: N152-113
Solicitation Number: 2015.2
Timeline
Solicitation Year: 2015
Award Year: 2016
Award Start Date (Proposal Award Date): 2015-11-02
Award End Date (Contract End Date): 2016-09-02
Small Business Information
5 Militia Drive
Lexington, MA 02421
United States
DUNS: 611628595
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Philip Abbot
 President
 (781) 862-8339
 abbot@oasislex.com
Business Contact
 Susan Gerow
Phone: (781) 862-8339
Email: Gerow@oasislex.com
Research Institution
N/A
Abstract

The US Navy needs robust detection systems for UUVs operating in harbor environments to protect high-value assets. The OASIS Team proposes to conduct a detailed feasibility study of using passive array(s) with integrated signal processor(s) to detect, classify and track, in real time, the underwater radiated noise of intruder UUVs. The requirement for the system will be a detection range of 1 km with a false alarm rate of 1 per day. In Phase I, possible intruder source levels will be estimated, as well as ambient noise and propagation appropriate for harbor environments. We will tradeoff the system performance (detection range, array gain, beam width, number of sensor channels, etc.) with frequency, cost, response time, array type and placement in the harbor. Existing and new array designs will be evaluated as well as various concepts of operation. A preliminary design for the system will be developed and documented for Phase II proof-of-concept testing. With extensive experience in designing, building, and testing high resolution passive arrays integrated with signal processors on board UUVs for the successful ONR PLUS and Marine Mammal Monitoring programs, the OASIS Team is uniquely qualified for this project.

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

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