Accurate indoor positioning using IMES radio

Indoor positioning still remains as an open problem, for the reason that it is difficult to achieve a satisfactory level of accuracy within indoor environment, using current radio based localization technology. Thus we try to investigate the utilization of IMES radio for high accuracy indoor positioning, because of its higher resolution radio map. Signal propagation model of IMES radio has been well investigated, based on which algorithms of trilateration and extended kalman filter are developed for both static and dynamic localization of a mobile robot using IMES radio. Experiments results show that a higher localization accuracy could be achieved.