DocumentCode
3451214
Title
The multisensor data fusion parallel algorithm based on Kalman filtering
Author
Qiang, Gljo ; Song-Nian, Yu
Author_Institution
Sch. of Comput. Eng. & Sci., Shanghai Univ., China
fYear
2004
fDate
1-4 Nov. 2004
Firstpage
573
Lastpage
576
Abstract
In this paper, a multisensor data fusion parallel algorithm based on Kalman filtering is presented. The simulation results using this fusion algorithm show that not only the execution time can be considerably reduced but also a precise estimation is produced.
Keywords
Kalman filters; filtering theory; parallel algorithms; sensor fusion; Kalman filtering; estimation precision; execution time; multisensor data fusion parallel algorithm; simulation; Covariance matrix; Equations; Filtering; Kalman filters; Noise measurement; Sensor fusion; Sensor systems; State estimation; Time measurement; White noise;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Electromagnetics and Its Applications, 2004. Proceedings. ICCEA 2004. 2004 3rd International Conference on
Print_ISBN
0-7803-8562-4
Type
conf
DOI
10.1109/ICCEA.2004.1459420
Filename
1459420
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