摘要
该文介绍了联邦Ka lm an滤波器的原理和结构,对多传感器信息融合技术在船舶吨位智能测量系统中的应用进行了探讨。文中构建了船舶吨位智能测量系统,根据系统需要详细设计了一种基于联邦Ka lm an滤波结构的多声纳传感器信息融合算法,并且给出了计算船舶吨位的算法,在多声纳传感器融合过程中,提出“变参考系统”方法来提高系统精度和可靠性,最后用MATLAB对本系统进行了仿真。仿真结果表明,算法有较高的系统精度和容错性,系统可行。
The elements and the frame of Federated Kalman Filter are introduced in this paper,and the application of the Multi - sensor Information Fusion technic in the wartercraft tonnage - measuring system is discussed. An intelligent watercraft tonnage - measuring system is designed in theory, and an effective arithmetic based on the Federated Kalman Filter is given to solve this problem. In this arithmetic, the ＇changing reference system＇ method is used to improve the accuracy and reliability. The results of the simulation indicates that the system is effective and feasible.
出处
《计算机仿真》
CSCD
2006年第6期127-129,共3页
Computer Simulation
基金
江苏省自然科学基金资助项目(BK2002064)
河海大学科技创新基金资助项目
