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Fast Computation of Scattering from Elastic Targets

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N00014-17-C-7041
Agency Tracking Number: N09A-026-0241a
Amount: $1,291,945.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N09-T026
Solicitation Number: 2009.0
Timeline
Solicitation Year: 2009
Award Year: 2017
Award Start Date (Proposal Award Date): 2017-05-24
Award End Date (Contract End Date): 2019-05-24
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
 Ahmad Abawi
 Chief Scientist
 (858) 457-0800
 Abawi@HLSResearch.com
Business Contact
 Michael Porter
Phone: (858) 336-9341
Email: porter@hlsresearch.com
Research Institution
N/A
Abstract

While the use of high frequency SAS imaging and subsequent use of pattern recognition techniques have proven to be useful in detection and classification of proud targets, these techniques by themselves cannot be applied when the targets are buried in the bottom, as high frequencies sonar signals are severely attenuated there. For this reason, the use of low-frequency techniques, which reveal target resonances and other structural features is sought, either as a stand-alone or a complimentary method. High fidelity models that can produce target response to sonar in a realistic ocean environment are important because they can be used to train classifiers to be able to perform automatic target recognition (ATR). They can also be used to simulate realistic minehunting scenarios. However, these tasks require not only accurate, but very fast models. In this work we use the finite element capabilities developed during Phase II of this effort to 1) develop very fast scattering models using the fast multipole method (FMM) and 2) further investigate the use of modulated radiation pressure to facilitate detection and classification of underwater mines and UXOs and determine ways that this technology can be used to enhance the performance of existing minehunting systems.

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

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