Fuzzy Fusion Processing Modeling and Simulation of Target’s Information of AIS and Radar

摘要

Both AIS (Automatic Identification System) and radar can acquire the target’s information around the own ship, including the target’s position, course, speed and so on, so as to aid the navigation for the ship. However, they have some advantages and disadvantages, respectively. Hence, it is very important to fuse the target’s information of the AIS and the radar to get the benefits. The paper briefly described the composition and function of the new kind of AIS. Based on the theory of multi-sensor information fusion, it researched on the fusion arithmetic of the information from the two sensors, using the fuzzy association with multi-factor fuzzy integration decision-making. Then, the mergence of the associated target’s information was completed with weighed-statistics. The mathematical modeling including the fuzzy factor sets, fuzzy evaluation sets and judgment rules and so on was established. The results of the simulation showed that the fusion methods can effectively improve the accuracy and reliability of the target tracks. Simultaneity, the association threshold value, one of the most important parameters for the judgment, was imitated, and the choice of the proper value was suggested.