Data Fusion in Distributed Multi-sensor System  

作　　者：GUOHang YUMin 

机构地区：[1]NanchangUniversity,Nangchang330029,China. [2]不详

出　　处：《Geo-Spatial Information Science》2004年第3期214-217,234,共5页地球空间信息科学学报（英文）

基　　金：FundedbytheNationalNaturalScienceFoundation (No.60 3630 0 2 )andtheNaturalScienceFoundationofJiangxi;China (No.0 4 1 2 0 1 0 )

摘　　要：This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors’ data processing. First, a residual χ 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.This paper presents a data fusion method in distributed multi-sensor system including GPS and INS sensors' data processing. First, a residual χ 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：PSEUDOLITE distributed multi-sensor system data fusion federated Kalman filtering 

分 类 号：P228.4[天文地球—大地测量学与测量工程]