Application of AIS in Marine Search and Rescue Radar

Author

Shijun, Ying ; Ying, Lu ; Peng, Xia

Author_Institution

Merchant Marine Coll., Shanghai Maritime Univ., Shanghai, China

Volume

2

fYear

2010

fDate

16-17 Dec. 2010

Firstpage

65

Lastpage

68

Abstract

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.

Keywords

learning (artificial intelligence); marine engineering; marine radar; maximum likelihood estimation; object detection; search radar; AIS; CFAR; automatic identification system; constant false alarm rate; learning mechanism; marine search; maximum likelihood; rescue radar; target searching; Clutter; Marine vehicles; Maximum likelihood estimation; Radar clutter; Radar detection; Radar imaging; AIS; marine search and rescue radar; sea clutter; search target; threshold;

fLanguage

English

Publisher

ieee

Conference_Titel

Intelligent Systems (GCIS), 2010 Second WRI Global Congress on

Conference_Location

Wuhan

Print_ISBN

978-1-4244-9247-3

Type

conf

DOI

10.1109/GCIS.2010.46

Filename

5708679