Low-Power Arctic environmental sensors for UUVs

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-11-M-0312
Agency Tracking Number: N11A-025-0342
Amount: $80,000.00
Phase: Phase I
Program: STTR
Awards Year: 2011
Solicitation Year: 2011
Solicitation Topic Code: N11A-T025
Solicitation Number: 2011.A
Small Business Information
2151 N. Northlake Way, Suite 214, Seattle, WA, 98103-9157
DUNS: 172213931
HUBZone Owned: N
Woman Owned: N
Socially and Economically Disadvantaged: N
Principal Investigator
 R. Thompson
 (206) 812-3009
Business Contact
 Todd Uffens
Title: Director of Finance&Cor
Phone: (206) 812-3011
Email: todd.uffens@blueview.com
Research Institution
 University of Washington-APL
 Peggy Hartman
 4333 Brooklyn Ave NE
Seattle, WA, 98195-9472
 (206) 543-4043
 Nonprofit college or university
BlueView Technologies, working with the Applied Physics Laboratory at the University of Washington propose to research and develop the application of high frequency imaging sonar to the problem of sea ice thickness and morphology. The use of compact, low power sonar systems in modern Unmanned Underwater Vehicles (UUV) can deliver a significant advance in the measurement of sea ice characteristics to improve the understanding of sea ice formation and melting, impacts of sea ice on ecosystems and oil spills, navigation through sea ice, prediction of ice extent and formation, and the prediction of climate change. In Phase I, requirements for imaging sonar and mission needs will be evaluated and then specific 12-3/4"UUV sonar configurations, ancillary measurements, and processing to support characterization of the ice thickness and morphology will be selected that optimize the information content yet fits within the 60 W design target. In the option to Phase I, BlueView Technologies will develop a preliminary design for an integrated sonar system from the configurations in Phase I to support integration into a 12-3/4 inch UUV, as well as reduce power to the lowest configuration. Specific areas of risk will be identified and a risk reduction plan produced, including some optional risk reduction testing. Finally, a prediction of performance of the system under different operating modes, such as vehicle depth and speed, will be produced.

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

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