Information fusion of seafloor observatory network based on Kalman filtering

摘要

The necessity and advantages of the multi-sensor's application in information fusion is analyzed on the basis of that multi-sensor information fusion technology has been widely applied in the monitoring and control system of seafloor observatory network. and the structural model of fusion system based on the distributed filtering scheme is presented. Decentralized kalman filtering is proposed to solve the fusion structure model of the system, and the information fusion algorithm based on kalman filtering is discussed in depth. And the research findings of Kalman filtering in information fusion are tested with Mat lab. Simulation shows that system design can integrate the lowest layer of sensor signals quickly and accurately, giving helps for decision making.