一种北斗/CDMA导航系统数据融合的联邦卡尔曼滤波算法  

A Federated Kalman Filtering Data Fusion Algorithm for Beidou/CDMA Navigation System

作　　者：黄百生[1] 卜淮原[2] 张瀚[1] 刘波[1] 

机构地区：[1]后勤工程学院后勤信息工程系,重庆400016 [2]后勤工程学院训练部,重庆400016

出　　处：《后勤工程学院学报》2009年第1期68-72,共5页Journal of Logistical Engineering University

摘　　要：北斗卫星与CDMA无线网络定位相结合的组合导航系统可以广泛应用于军事和民用领域，而有效进行数据融合是提高北斗／CDMA组合导航系统定位精度的关键。针对北斗／CDMA组合导航系统的特点，提出了一种基于联邦卡尔曼滤波的北斗／CDMA导航数据融合算法。算法采用机动目标的“当前”统计模型，分别建立了北斗定位系统和CDMA定位系统的状态方程，通过对相应定位参数进行滤波处理，提高了北斗／CDMA导航系统的定位精度。The combined navigation system of combination with Beidou satellite and CDMA wireless network orientation can be applied to the military affairs and civil fields, and how to apply data fusion in efficiency in this system is the key of improving the positional accuracy. To focus on the characters of this system, this paper proposes one kind of Beidou/CDMA navigation algorithm based on the federation Kalman filtering. The algorithm builds state equation for both of the orientation systems respectively by using ＂current＂ statistical model of moving target ,which can raise the positional accuracy after dealing with the allocation parameter in the way of wave filtering.

关 键 词：联邦卡尔曼滤波 “当前”统计模型 数据融合 北斗/CDMA导航系统 

分 类 号：TN967.2[电子电信—信号与信息处理] TN953[电子电信—信息与通信工程]