Abstract

In this paper, an indoor localization system is implemented, in which the distances are measured via by the Ultra-Wideband (UWB) and are utilized to determine positions of one blind node through trilateration localization algorithm. Additionally, to overcome the measurement errors caused by complex indoor environment, an Unscented Kalman Filter (UKF) algorithm is proposed to improve the accuracy of the localization results. Finally, the developed localization system is tested and the proposed algorithm is analyzed. It shows that the indoor localization system can achieve the positioning accuracy less than 10cm, providing a promising approach for high precision localization applications.

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