NLOS identification using parallel deep learning model and time-frequency information in UWB-based positioning system

Junyu Wei,Haowen Wang,Shaojing Su,Ying Tang,Xiaojun Guo,Xiaoyong Sun

Measurement（2022）

引用 13|浏览6

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摘要

•A parallel NLOS identification method is proposed using the multiple input neural network model.•The raw CIR and its time-frequency diagram are effectively employed.•Five different typical obstacles are tested to validate the identification method within 1–4 m.•The UWB-based positioning results of LS and WLS algorithms are compared using the proposed NLOS identification method.

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关键词

UWB,NLOS,CIR,Time-frequency diagram,Multiple input learning

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