Advance Algorithm for Total Ship Monitoring Improvements

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$69,464.00
Award Year:
2002
Program:
SBIR
Phase:
Phase I
Contract:
N00024-02-C-4099
Award Id:
59469
Agency Tracking Number:
N02-028-03
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
12450 Fair Lakes Circle, Suite 625, Fairfax, VA, 22033
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
153245857
Principal Investigator:
Bill Mahood
Systems Engineer
(703) 263-2889
wmahood@dsrnet.com
Business Contact:
Alan Mischler
Chief Financial Officer
(703) 885-3603
amischler@dsrnet.com
Research Institution:
n/a
Abstract
"The Navy has recently exerted a focused management effort TSMS for submarines, resulting in significant progress in several areas. TSMS functionality includes noise detection, noise localization, and extrapolation of measured noise to far fieldvulnerability. Due to limited research and development funding, none of these functional areas has received concerted attention for algorithmic improvement since the implementation of existing TSMS baselines.In our view TSMS is not primarily an analysis workstation but a tactical tool to identify acoustic vulnerabilities as promptly and quantitatively as possible, and to identify actions required for mitigation. While the current baseline makes it a valuablemeasurement and diagnostic asset, it has potential to be a prominent tool used establish and maintain tactical control against threat submarines. DSR intends to focus on the goals of making TSMS more tactically useful and less operator intensive. This SBIR topic presents an opportunity to explore and develop significant improvements to the TSMS functional capabilities. The opportunity for transition of any developed improvements is especially good since the modularity of the current TSMSCOTS-based software baseline can support a wide range of processing improvements flexibly and without architectural impact. DSR proposes to identify improvements in five specific areas of TSMS performance:¿ More rigorous transient detection and chara

* information listed above is at the time of submission.

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