AIS and VTS Information Fusion in the Internet of Inland Ships

摘要

As an important part of IOT, the Internet of Inland Ships is designed to provide ship sensing and traffic information service in the whole drainage area. The information fusion of AIS and VTS based on the Internet of Inland Ships increases the survivability, extends the information dimension, and enhances the system robustness and reliability greatly. This paper outlines a distributed fusion model which consists of four procedures--Information Preprocess,Data Matching, Track Association and Track Fusion. Kalman filtering algorithm is employed to filter various types of noises for preprocess. Data Matching is divided into airspace alignment and time domain alignment. Grey Correlation is a viable method for Track Association to determine the signals assigned. After the association, interrelated track information is fused through the Fusion Center. Finally, a simulation is carried out to test this model. Outcomes of this test show that the model of the fusion system is effective and reliable.