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Improved High-Frequency Bottom Loss Characterization

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-17-C-0371
Agency Tracking Number: N17A-026-0010
Amount: $224,125.00
Phase: Phase I
Program: STTR
Solicitation Topic Code: N17A-T026
Solicitation Number: 2017.0
Solicitation Year: 2017
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-06-09
Award End Date (Contract End Date): 2018-10-05
Small Business Information
12625 High Bluff Dr.
San Diego, CA 92130
United States
DUNS: 167663223
HUBZone Owned: No
Woman Owned: No
Socially and Economically Disadvantaged: No
Principal Investigator
 Michael Porter
 Pres. and CEO
 (858) 336-9341
Business Contact
 Michael Porter
Phone: (858) 336-9341
Research Institution
 University of Washington, Applied P
 DJ Tang
1013 NE 40th Street Box 355640
Seattle, WA 98105
United States

 (206) 543-1290
 Federally Funded R&D Center (FFRDC)

We propose development of an improved bottom database suitable for use in the frequency range of 1-10 kHz. Measured transmission loss (TL) and reverberation level (RL) will be jointly processed in building the database. The influence of the rough sea surface, rough seafloor, as well as subbottom heterogeneity will be accounted for during database generation. The rough sea surface will be characterized by wind speed and wind direction, and the seafloor by a layered sediment where each interface is allowed to be rough and each layer allowed to be heterogeneous. A suite of models (e.g., rough surface PE, rough surface transport equation, or rough surface ray tracing, the GABIM model for characterization of bottom backscatter, and reverberation models based on perturbation theory) will be jointly applied to process measured wideband data in order to populate the database. Numerical simulations and field data with companion environmental data (TREX13) will be used to test the procedure, parameterization, and resulting database. The new procedure will then be applied to existing and new NAVOCEANO data sets to check consistency of the data basing results across regions with similar sediment types.

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

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