A High Precision Indoor Cooperative Localization Scheme Based on UWB Signals

Abstract

High precision localization is a kind of promising technology in industry and everyday life. In this paper, ultra-wide band (UWB) signals are employed to make use of its high time resolution to obtain high precision ranging results. In dense multipath indoor environment, an entropy based first path detection is proposed to take advantage of the essential features of noise and UWB signals. Furthermore, when the number of anchor nodes is less than three, some of the indoor users are employed as auxiliary anchor nodes to obtain high precision localization result. The lease square error method is employed to get the localization result. Simulation results show that the entropy based first path detection algorithm can get the ranging result in a high accuracy. Besides, when there are not enough anchor nodes, the proposed cooperative localization scheme can help localization with high precision.