DocumentCode
2271176
Title
Research on Multisensor State Fusion Estimation Based on Weighted Least Squares
Author
Zhu, Peiyi ; Xu, Benlian ; Xu, Baoguo
Author_Institution
Dept. of Autom., Changshu Inst. of Technol., Changshu
Volume
3
fYear
2008
fDate
20-22 Dec. 2008
Firstpage
746
Lastpage
750
Abstract
In the measuring process, some even several sensors expire, but other non-expiration sensor can´t affect to provide the information independently. The system can depend on the information by non-expiration sensor providing to get accurate observed value. The paper analyzes the metrical data based on sensor management, and selects a group of sensors according to qualification, and data of the limited measurement by the group multi-sensors were state fusion estimated. The obtaining measurement results are more accurate than arithmetic mean value algorithm. At last eliminates the disturbance and the uncertainty in the sensor survey, and obtains is more accurate, the more reliable measurement result..
Keywords
least squares approximations; sensor fusion; multisensor state fusion estimation; sensor management; weighted least square estimation; Arithmetic; Information technology; Least squares approximation; Noise measurement; Sensor fusion; Sensor phenomena and characterization; Sensor systems; Sensor systems and applications; State estimation; Working environment noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Information Technology Application, 2008. IITA '08. Second International Symposium on
Conference_Location
Shanghai
Print_ISBN
978-0-7695-3497-8
Type
conf
DOI
10.1109/IITA.2008.286
Filename
4740097
Link To Document