AIS Information Decoding and Fuzzy Fusion Processing with Marine Radar

Both AIS (automatic identification system) and radar are the equipment to aid navigation for a ship at sea. It is very important to fuse the target´s information from the two sensors so as to get mutual benefits. After AIS system was briefly described, the data format and the conversion of the encapsulated data from AIS output interface was discussed. The method of decoding was studied. A research was emphasized on an association judgment for the targets from the two sensors by adopting multi-factor fuzzy integration decision-making, utilizing the information of the target´s distance, bearing, velocity and course. The mergence of the tracks was conducted with weighted-statistics method. The results of the simulation showed that the fusion methods are correct and effective. At last, the relation of the association probability with the association threshold was discussed and imitated.