Forward Looking Collision Avoidance and Sub-Bottom Sensor for Conceptual High Speed Submersibles

Award Information
Agency:
Department of Defense
Branch
Defense Advanced Research Projects Agency
Amount:
$374,974.00
Award Year:
2003
Program:
SBIR
Phase:
Phase II
Contract:
W31P4Q04CR004
Award Id:
58406
Agency Tracking Number:
02SB2-0040
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
10070 Barnes Canyon Road, San Diego, CA, 92121
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
107928806
Principal Investigator:
Jeffrey Ridgway
Senior Scientist
(858) 535-9680
jeffr@islinc.com
Business Contact:
William Gang
Chief Operations Officer
(858) 535-9680
wgang@islinc.com
Research Institute:
n/a
Abstract
Historically, submarines have encountered difficulty in avoiding collisions with commercial, surface and submarine crafts, particularly when surfacing. Usually the consequences are drastic, as when the USS Greenville collided with the Japanese fishing boatM/V EHIME MARU, with the tragic loss of nine lives and significant political repercussions. These collisions have emphasized the weakness of acoustic methods in avoiding collisions. We have investigated in Phase I the use of electric field sensors to fillin the gaps left by acoustic sensors at medium ranges for detecting surface and submerged vessels at distances useful for avoiding collisions. The Phase I research verified useful detection ranges (up to 1000 m), investigated noise sources on E-Fieldsensors implanted on a moving submersible, and proposed mitigation strategies. Work in Phase II will test these noise mitigation concepts with a laboratory test and two at-sea experiments, as well as improve upon the theoretical E-Field noise estimationsfor turbulence, and improve our algorithms derived for target bearing and range estimation. We will also mount E-Field sensors onto a submarine and test it in a real-world situation against a variety of vessels and towed targets, to demonstrate theeffectiveness of E-Field sensing for collision avoidance.

* information listed above is at the time of submission.

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