一种基于信息融合的滤波算法及其应用  

A New Filtering Algorithm Based on Information Fusion and Its Application

作　　者：黄晓瑞[1] 崔平远[1] 

机构地区：[1]哈尔滨工业大学航天工程与力学系,黑龙江哈尔滨150001

出　　处：《电子学报》2001年第9期1225-1227,共3页Acta Electronica Sinica

摘　　要：本文从组合导航系统研究的角度出发，提出了一种应用卡尔曼滤波技术建立多 传感器信息融 合系统的方法，该方法克服了以往存在的局部滤波器和全局滤波器具有相同 数学模型的缺点 ，增强了算法的通用性.文中从概念理解、模型建立、系统结构等方面作了 详细的分析，并 针对GPS/INS组合导航系统进行了仿真.结果表明：该算法对提高导航系统 的精度和运算速度 是行之有效的.A new filtering Algorithm based on information fusion is pres ented in this paper in view of the research on integrated navigation system.Thi s method overcomes t he demerit of the same mathematical model in local and glob al filter,therefore i mproves the versatility of the system.The authors analyze the basic concept,mode l establishment and frame of the integrated navigation sy stem in detail,then giv e the computer simulation for GPS/INS.The results show t his method is very usefu l because it can improve the accuracy and calculation s peed of the system.

关 键 词：信息融合 卡尔曼滤波 组合导航 

分 类 号：TN967.2[电子电信—信号与信息处理]