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Abstract

The invention discloses an UWB NLOS signal recognition method based on the first path of CIR, including constructing a UWB ranging system comprising tags and anchors. The system controls communication between the anchor and tag, processes the raw CIR data obtained from each communication to construct data samples, and labels these samples to build a raw CIR dataset. Peak filtering is then performed on the CIR waveforms in the raw CIR dataset to identify the first path peak points of the data samples. Based on the first path peak points, valid data is determined as new data samples, and one-hot encoding is applied to the data labels. A training dataset is constructed using all new data samples and their corresponding data labels. A machine learning model is then developed and trained using the training dataset, and the trained model is saved for identifying unknown CIR signals.

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First Claim