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AI Radar Tracker Upgrades for SAR Detection Targets

P. Scarlett

出版	Transportation Development Centre, 1998
URL	http://books.google.com.hk/books?id=r_7XtAEACAAJ&hl=&source=gbs_api

註釋

This report describes the development and preliminary testing of the prototype Search and Rescue Artificial Intelligence Tracker (SARAIT). The SARAIT processes plots from any conventional marine radar using M of N (M target detections in N scans) integration and multiple hypothesis tracking (MHT) to detect small, awash, slowly drifting targets such as liferafts, person in water (PIWs) and wreckage. The SARAIT is implemented on two dual-Pentium Pro single-board computers. It was operated in real time during offshore data-gathering trials and was tested with a small subset of the taped data recorded while sailing at 8 to 10 kn in 3.3 to 3.8 m seas. The SARAIT reliably detected very small PIW-sized targets at 1 to 2 nmi (depending on the clutter intensity) and small liferaft-sized targets at 2 to 3.5 nmi, all with less than 5 false detections per hour. Longer detection ranges are expected to result from the more involved testing planned for early 1999.