基于联邦滤波技术的吨位智能测量系统  

An Intelligent Tonnage-Measuring System Based on Federated Kalman Filter

作　　者：范新南[1] 徐立中[1] 苏丽媛[1] 

机构地区：[1]河海大学计算机及信息工程学院,江苏常州213022

出　　处：《计算机仿真》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

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.

关 键 词：联邦卡尔曼滤波 多传感器信息融合 智能测量 

分 类 号：TP391.4[自动化与计算机技术—计算机应用技术]