A Novel Fusion Method for DR/GPS Integrated Navigation System

被引:0
作者
Zhang, Santong [1 ]
Yang, Shiwu [1 ]
机构
[1] Beijing Jiaotong Univ, Sch Elect & Informat Engn, Beijing, Peoples R China
来源
2008 6TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRIAL INFORMATICS, VOLS 1-3 | 2008年
关键词
informationfusion; Bootstrap filtering; DR/GPS; integrated navigation; kalman filter;
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In order to improve the positioning precision and reliability in dead reekoning(DR)/Global Positioning System(GPS), a novel fusion method is proposed on the basis of using Bootstrap filtering in Dead reckoning and Kalman filter in DR/GPS system. The affection of the position errors accumulation is decreased, because only the velocity and acceleration parameters of DR are used when combined with the GPS observations. The feasibility of this method is proved with a simulating example of DR/GPS system.
引用
收藏
页码:87 / 89
页数:3
相关论文
共 5 条
[1]   A tutorial on particle filters for online nonlinear/non-Gaussian Bayesian tracking [J].
Arulampalam, MS ;
Maskell, S ;
Gordon, N ;
Clapp, T .
IEEE TRANSACTIONS ON SIGNAL PROCESSING, 2002, 50 (02) :174-188
[2]  
[柴艳菊 CHAI Yanju], 2005, [武汉大学学报. 信息科学版, Geomatics and information science of wuhan university.], V30, P1048
[3]  
CHANG Q, 2000, J CHINA I COMMULINAT, V21, P43
[4]   NOVEL-APPROACH TO NONLINEAR NON-GAUSSIAN BAYESIAN STATE ESTIMATION [J].
GORDON, NJ ;
SALMOND, DJ ;
SMITH, AFM .
IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING, 1993, 140 (02) :107-113
[5]  
WAN DJ, 2000, THEORY METHOD GPS DY