Accuracy-energy optimized location estimation method for mobile smartphones by GPS/INS data fusion

Positioning in mobile smartphones is done by variety of available applications which often use GPS modules equipped in them. Most of these approaches have a high energy consumption because of those GPS modules and decreases battery life. As the period of GPS signal updating reduces, the precision of positioning decreases, but energy consumption decreases either. By fusing the GPS and INS data, positioning will be more precise. In this article, a novel method based on strong tracking extended Kalman filter will be presented which makes an acceptable precision in positioning along with a low energy consumption by fusing the data gathered from GPS and INS (which are found on all smartphones). The results show that this method performs better in term of precision in comparison with similar studies that consumes as much power as the proposed method.