A Data Fusion Algorithm for Marine Radar Tracking

Automatic radar plotting aids (ARPA) and automatic identification system (AIS) are the most important navigational systems on board. ARPA is considered as the primary anti-collision system, but its detecting ability, tracking accuracy and reliability are affected badly under the rough environmental...

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Bibliographic Details
Published in2009 WRI Global Congress on Intelligent Systems Vol. 1; pp. 234 - 238
Main Authors Ying Shijun, Chen Jinbiao, Shi Chaojian
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.05.2009
Subjects
AIS
Broadcasting
Data Fusion
Data processing
Displays
Global Positioning System
Marine vehicles
Navigation
Radar
Radar detection
Radar Simulator
Radar tracking
Sensor systems
Target tracking
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ISBN9780769535715
0769535712
ISSN2155-6083
DOI10.1109/GCIS.2009.238

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Summary:Automatic radar plotting aids (ARPA) and automatic identification system (AIS) are the most important navigational systems on board. ARPA is considered as the primary anti-collision system, but its detecting ability, tracking accuracy and reliability are affected badly under the rough environmental weather condition. AIS provide steady and continuous navigation data come from GPS or DGPS with higher precision. In this paper, a data fusion algorithm has been developed for ARPA with AIS position data to improve its tracking accuracy and reliability. The proposed algorithm was experimented on a navigational radar simulator and a PC based platform programmed with VC++. The simulating results show that this method can effectively improve the accuracy and reliability of tracking.
ISBN:9780769535715
0769535712
ISSN:2155-6083
DOI:10.1109/GCIS.2009.238