Research On Data Fusion Technology And Its Application In Ship Integrated Navigation Systems

With the development of navigation technology and control theory, the integrated navigation system has already become the main navigation system at present. It is composed of many navigation sensors, so how to make the best of the data coming from the multi-sensors is the most important problem in the navigation system. The method of information fusion is one of the powerful means to solve this problem. In this paper, the DR/GPS/LoRan C integrated navigation system is studied in theory , and an effective way to solve this problem is given.This paper consists of two parts. In the first part, it discusses how to avoid the random disturbance in the integrated navigation system. The mathematical model of this system is established and the system is simulated with the help of Kalman filter and federal filter. The results of the simulation show that both Kalman filter and federal filter are effective.In the second part, fault diagnosis in the integrated navigation system is studied. At first, some theory of fault diagnosis is introduced. Then, some simulation is made. In the end, neural network theory is discussed and applied in the fault diagnosis.