Title :
Research on Application of Kalman Filtering Algorithm in Wireless LAN Positioning System
Author_Institution :
Sch. of Comput. Sci., Yangtze Univ., Jingzhou, China
Abstract :
In the wireless LAN, positioning technology based on signal strength of indoor gets more and more attention. in this paper, We introduce Carl filtering algorithm in positioning technology based on signal strength of indoor, it could filter the sampling data to eliminate some noise, and then improves the system´s positioning accuracy. the Experimental results show that Carl filtering algorithm could Optimize the signal and positioning system get more accurate data by using Carl filtering algorithm in positioning model.
Keywords :
Kalman filters; optimisation; signal denoising; signal sampling; wireless LAN; Carl filtering; Kalman filtering algorithm; positioning technology; sampling data; signal noise; signal strength; wireless LAN; Current measurement; Equations; Filtering algorithms; Mathematical model; Noise; Signal processing algorithms; Wireless LAN; Karl Filter; Postioning system; data acquired; wireless LAN;
Conference_Titel :
Genetic and Evolutionary Computing (ICGEC), 2010 Fourth International Conference on
Conference_Location :
Shenzhen
Print_ISBN :
978-1-4244-8891-9
Electronic_ISBN :
978-0-7695-4281-2
DOI :
10.1109/ICGEC.2010.205
