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
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;
Conference_Titel :
Computational Electromagnetics and Its Applications, 2004. Proceedings. ICCEA 2004. 2004 3rd International Conference on
Print_ISBN :
0-7803-8562-4
DOI :
10.1109/ICCEA.2004.1459420
