Non-collinear Wave-front Curvature Range Measurement

Award Information
Agency: Department of Defense
Branch: Navy
Contract: N68335-19-C-0091
Agency Tracking Number: N021-0353
Amount: $825,511.00
Phase: Phase II
Program: SBIR
Solicitation Topic Code: N02-025
Solicitation Number: 2002.1
Timeline
Solicitation Year: 2002
Award Year: 2019
Award Start Date (Proposal Award Date): 2018-11-21
Award End Date (Contract End Date): 2020-11-21
Small Business Information
2 Corporate Place, Middletown, RI, 02842
DUNS: 968755897
HUBZone Owned: N
Woman Owned: Y
Socially and Economically Disadvantaged: N
Principal Investigator
 TOM NORTHARDT
 (401) 846-1462
 tom.northardt@mikelinc.com
Business Contact
 KELLY MENDELL
Phone: (508) 514-1220
Email: kelly.mendell@mikelinc.com
Research Institution
N/A
Abstract
The goal of this Phase II SBIR is to extract more information from existing submarine acoustic sensors through a highly innovative inter- and intra-sensor correlation algorithmic, in order to provide U.S. submarines with increased acoustic superiority over increasingly quiet adversaries. U.S. adversaries are continuously improving their acoustic quieting technologies through efforts such as marine machining, energy generation, and propulsion. As a result, adversaries are emitting less acoustic energy than a decade ago and they will emit even less acoustic energy in the coming decade. The Department of the Navy (DoN) has made significant investments improving sensor capabilities. Todays sensors have higher resolution and more data available to operators and sonar algorithms than ever before. There has been a concerted effort by the Navy to find ways to extract more information from acoustic sensors while reducing operator workload, in order to retain a strategic advantage over adversaries. One means of extracting more information from current sensors is through single- and multi-sensor correlation. The technology developed under this effort will provide automated sonar data correlation tool that both improves sonar contact localization capability and reduces operator workload.

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

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