A Data Fusion Algorithm for Marine Radar Tracking

• Published in: 2009 WRI Global Congress on Intelligent Systems Vol. 1; pp. 234 - 238
• Main Authors: Ying Shijun, Chen Jinbiao, Shi Chaojian
• Format: Conference Proceeding
• Language: English
• 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
• ISBN: 9780769535715; 0769535712
• ISSN: 2155-6083
• DOI: 10.1109/GCIS.2009.238

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.