首页 | 本学科首页   官方微博 | 高级检索  
     

Data Fusion in Distributed Multi-sensor System
引用本文:GUOHang YUMin. Data Fusion in Distributed Multi-sensor System[J]. 地球空间信息科学学报, 2004, 7(3): 214-217. DOI: 10.1007/BF02826294
作者姓名:GUOHang YUMin
作者单位:[1]NanchangUniversity,Nangchang330029,China. [2]不详,Nangchang330029,China.
基金项目:国家自然科学基金,江西省自然科学基金
摘    要:
This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors“ data processing. First, a residual X^2-test strategy with the corresponding algorithm is designed.Then a coefficient matrices calculation method of the information sharing principle is derived. Finally, the federated Kalman filter is used to combine these independent, parallel, real-time data. A pseudolite (PL) simulation example is given.

关 键 词:分布式 多传感器系统 信息熔解 联合卡尔曼过滤 数据处理 GPS 全球定位系统
收稿时间:2004-04-09

Data fusion in distributed multi-sensor system
Guo Hang,Yu Min. Data fusion in distributed multi-sensor system[J]. Geo-Spatial Information Science, 2004, 7(3): 214-217. DOI: 10.1007/BF02826294
Authors:Guo Hang  Yu Min
Affiliation:GUO Hang YU Min
Abstract:
This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors' data processing. First, a residual χ2-test strategy with the corresponding algorithm is designed. Then a coefficient matrices calculation method of the information sharing principle is derived. Finally, the federated Kalman filter is used to combine these independent, parallel, real-time data. A pseudolite (PL) simulation example is given.
Keywords:pseudolite  distributed multi-sensor system  data fusion  federated Kalman filtering
本文献已被 CNKI 维普 万方数据 SpringerLink 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号