Radar Detection and Discrimination of Small Maritime Targets at High Altitude and Grazing Angle
Small Business Information
P.O. Box 238, Wayne, PA, 19087
Joseph Teti, Jr.
Joseph Teti, Sr.
AbstractThe 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.