Radar Detection and Discrimination of Small Maritime Targets at High Altitude and Grazing Angle

Award Information
Agency:
Department of Defense
Branch
Navy
Amount:
$1,000,000.00
Award Year:
2006
Program:
SBIR
Phase:
Phase II
Contract:
N68335-06-C-0397
Award Id:
75043
Agency Tracking Number:
N051-006-0199
Solicitation Year:
n/a
Solicitation Topic Code:
n/a
Solicitation Number:
n/a
Small Business Information
P.O. Box 238, Wayne, PA, 19087
Hubzone Owned:
N
Minority Owned:
N
Woman Owned:
N
Duns:
946893658
Principal Investigator:
Joseph Teti, Jr.
Chief Scientist
(610) 581-7940
jgteti@lamsci.com
Business Contact:
Joseph Teti, Sr.
Vice President
(610) 581-7940
jteti@lamsci.com
Research Institution:
n/a
Abstract
The objective of this SBIR is to develop (design, build, and test) and demonstrate real-time high-altitude, high-grazing-angle radar processing software to automatically detect and discriminate signatures associated with small maritime targets. Phase II will result in a near real-time demonstration. Lambda Science's approach to discriminate small targets from high-altitude sea clutter is to utilize improved multi-scan processing algorithms that incorporate feature-aided multiple hypothesis tracking and real-time clutter modeling. A sophisticated multi-target track picture, using interacting multiple-model filtering, is augmented with extracted target features and sea-clutter predictions. In this way, candidate tracks are discriminated based on consistency with extracted features and predicted clutter in addition to track consistency. Probabilistic data association and/or dynamic programming are used to reduce complexity for near real-time operation. The Tracking and Discrimination processes are conveniently combined by incorporating an appropriate feature related component into the track score to provide a kinematics - based discriminant function for multi-look detection. False alarms and missed detections are reduced by many orders of magnitude with management of beam-shape, revisit, and dwell.

* information listed above is at the time of submission.

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