Radar Detection and Discrimination of Small Maritime Targets at High Altitude and Grazing Angle Navy SBIR FY2005.1 Sol No.: Navy SBIR FY2005.1 Topic No.: N05-006 Topic Title: Radar Detection and Discrimination of Small Maritime Targets at High Altitude and Grazing Angle Proposal No.: N051-006-0199 Firm: Lambda Science, Inc. P.O. Box 238 Wayne, Pennsylvania 19087-0238 Contact: Joseph Teti Phone: (610) 581-7940 Web Site: www.lamsci.com Abstract: Lambda Science's approach to radar detection and discrimination of small targets in 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 (MTT) 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. We call it "MTT&D instead of detect". Probabilistic data association is used to reduce complexity for near real-time operation. Benefits: Large theatre military campaigns and coastal homeland security operations that need to construct a dynamic sensor based (radar) picture of activity in a maritime environment include Broad Area Maritime Surveillance (BAMS), the Global Hawk Maritime Demonstration (GHMD), Multimission Maritime Aircraft (MMA), and the Coast Guard's Maritime Domain Awareness (MDA). The feature-aided tracking and discrimination algorithms will be used for both performance enhancement and performance prediction. Return