期刊名称：International Journal of Innovative Research in Computer and Communication Engineering
印刷版ISSN：2320-9798
电子版ISSN：2320-9801
出版年度：2015
卷号：3
期号：11
DOI：10.15680/IJIRCCE.2015.0311223
出版社：S&S Publications
摘要：Now-a-days location estimation and tracking of mobile stations have more attention. Key requirements for such applications are positioning system that provides accurate position information while spending minimal energy. Various types of techniques have been studied and co mbined for location tracking, eg., the least square method for location estimation associated with the Kalman filters for location tracking. A new variable is incorporated as an additional state within the Kalman filtering formulation to assign the nonlinear behavior in the measurement update process. The new variable and the desired location estimate are applied in the state update process of Kalman filter. In observation the global positioning system is generally less accurate in urban areas, so it suffices to turn on G PS only as often as necessary to achieve accuracy. To predict the accuracy of GPS use Kalman filter to clean up the noise
关键词：GPS; Kalman filter; Locatio n Tracking; Accuracy
