Application of AIS in Marine Search and Rescue Radar
Shijun Ying, Ying Lü, Xia Fu Peng · 2010
Nowadays marine radar detects targets by Constant False Alarm Rate (CFAR). But the search and rescue efficiency is low in poor visibility or serious interference. In this paper, we reference learning mechanism, set up the AIS information for the sample and estimate the threshold t of the search targets with Maximum Likelihood (ML). Then any ship can be distinguished and searched. Experimental results show that using this method can improve the efficiency and accuracy of marine search and rescue radar searching the targets.