Research On Ship Positioning Platform Of Multi-source Information Fusion Based On AIS

Since the Global Navigation Satellite System(GNSS)has the advantages of high positioning accuracy,fast speed and continuous coverage,GNSS is widely used for positioning of ships when they are traveling on the sea.However,the satellite signals received by GNSS have their own uncontrollable vulnerability.For example,under the influence of weather,electromagnetic waves and other environmental disturbances,GNSS's positioning accuracy will decline,and even cannot be located.The Dead Reckoning(DR)system has a completely autonomous positioning capability,which means to determine real-time positions only according to the course angle and instantaneous velocity of ships in motion without being affected by external factors.However,the positioning error will increase with the accumulation of time,so it is only suitable for positioning in a short time.The current Automatic Identification System(AIS)location information is derived from the positioning results of GNSS,but due to the vulnerability of GNSS itself,the accuracy and reliability of positioning information cannot be guaranteed.In order to reduce the occurrence of maritime accidents and ensure the navigation safety of ships,this paper USES the advantages of AIS multi-sensor interface to integrate the multi-source data of AIS to provide more reliable location information.The advantage of federated Kalman filtering is that filtering processing can be completed independently in the subsystem,and then central data fusion can be achieved in the main system.However,since the real measured noise of a ship cannot be acquired during its voyage,an improved algorithm is proposed in this paper,which is on the basis of the federal Kalman filtering algorithm,which introduced a sub-optimal estimator for the measured noise variance of each subsystem,and which can reset the filtering results of each subsystem.Simulation results show that through the above improved algorithm,which combined navigation system based on AIS multi-source information fusion can not only significantly improve the positioning accuracy,but also has more stability than the traditional federated Kalman filtering algorithm.In addition by parsing GNSS data can be real-time access to Horizontal Dilution of Precision(HDOP),which can realize information distribution value of online adjustment,make positioning platform has better real-time performance and adaptability.Based on the above research results of AIS multi-source information fusion algorithm,this paper designs and realizes the ship positioning platform which based on C#,which based on AIS multi-source information fusion.In order to simulate the AIS multi-source data interface,AIS receiver and the final ship positioning display,the positioning platform is composed of master control module,multi-source information receiving module,multi-source information processing module,positioning module and display module.The test results show that this positioning platform can not only effectively solve the problem of the current AIS location information relying solely on GNSS,but also utilize the multi-source of AIS data sources and apply the integrated navigation algorithm of information fusion.Compared with traditional AIS positioning,this positioning platform has the advantages of higher positioning accuracy,better stability and stronger usability.