Research On Fusion Algorithm Of AIS And Radar Dynamic Data

With the development of the shipping industry, the number of ships continues to increasing and resulting in ship collisions at last. Therefore, avoiding the collision of the ships becomes an important object of the current scholars. The most important thing to solve the collision is to clearly indicate the specific target information of the ship. The paper is introduced AIS system and radar. Because of their respective advantages and disadvantages, each of them is not used alone as the only safe means of monitoring the voyage. Multi-sensor information fusion technology can greatly improve the accuracy of target information. This technology has become a very active research field. Many countries, including China, regard it as key technologies on the next phase.Based on multi-sensor information fusion technology, the paper is studied deeply on dynamic information fusion algorithm of AIS and radar.Firstly, the paper is studied on getting the data of AIS and radar, and finishing the coordinate transformation, and then deleting the track of radar which does not meet the guidelines of the crude association. Secondly, the paper is studied on making it easy to finish track association and track fusion by putting the information of AIS and radar on the same time. Thirdly, the paper is used multi-factor fuzzy decision-making track correlation algorithm to make judgment of the track association of radar and AIS which is meeting the rule of track associate. Finally, it is to make the track of AIS associated with the track of radar. In order to improve the integration accuracy, the paper finally is discussed the Kalman filter algorithm to make tracking and filtering of the AIS and radar information before fusion.The results of simulation and test show that:the multi-factor fuzzy integrated decision-making track correlation algorithm is accurate. In the minimum mean square error conditions, the adaptive weighted track fusion algorithm is effective and accurate.