A Novel Ultra-Wideband-Based Localization and Tracking Scheme with Channel Classification

Ultra-wideband (UWB) has been widely used in accurate indoor localization in recent years due to its high-resolution ranging and strong through-wall propagation. However, typical localization and tracking schemes based on UWB are challenged by ranging error caused by non-line-of-sight (NLOS) propagation, which can result in large localization error. With the purpose of reducing the localization error, in this paper, we propose a novel UWB-based localization and tracking scheme with channel classification which utilizes the multipath information. Simulation results indicate that compared with typical classification methods, the proposed channel classification method can reduce the probability of misclassification efficiently. In addition, in contrast to conventional localization and tracking algorithms, the presented algorithm lowers the localization error caused by NLOS propagation effectively.

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