A novel real time geolocation tracking tool
This work addresses GPS noise reduction for real-time tracking applications, but the approach is incremental as it applies known filtering techniques to a standard hardware setup.
The study proposes a real-time geolocation tracking tool using a SIM908 shield and Arduino, applying Kalman and Average filters to reduce GPS positional errors. The Kalman filter showed encouraging results in improving accuracy.
Global Positioning System (GPS) is a satellite network that transmits regularly encoded information and makes it possible to pinpoint the exact location on Earth by measuring the distance between satellites and the receiver. While GPS satellites continually emit radio signals, receivers are able to receive these signals. This study proposes a tool in which an electronic circuit that is consisted of integration of SIM908 shield and Arduino card is used as a GPS receiver. The positional data obtained from GPS satellites yields error due to the noise of the signals. Accordingly, in this study Kalman and Average filters are applied respectively in order to reduce these faults and handle the overall positional error. Several experiments were carried out in order to verify the performance of the filters within the GPS data. The results of these enhanced systems are compared with the initial configuration of the system severally. Especially the results obtained using the Kalman filter is quite encouraging.