期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2014
卷号：5
期号：3
页码：3787-3790
出版社：TechScience Publications
摘要：This paper gives a core approach to model errors encountered during vehicular tracking using Global Positioning System. The errors occur due to the lateral transference of signals from sending to receiving end which ultimately degrades the efficiency and accuracy of signals. These errors could be in the form of ionospheric delay, multipath effects, delay in trospheric layer, atmospheric distortion etc.GPS uses UTC time to position the navigated device. Here, we have tried to improve the accuracy of GPS positioning by filtering out the distortions in the GPS signals using Kalman Filter. This proposed approach uses prediction and correction for estimating and predicting parametric values using prior, present and future measurements to collect more consistent signal. We showed better precision of filter in this paper by eradicating noise and achieved lesser mean error than standard one.
关键词：GSM;latitude mean error; longitude mean;error;noise covariance
