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Paper detail

Precise Indoor Positioning Based on UWB and Deep Learning

We examined UWB-based indoor location in conjunction with a fingerprint technique in this work. We built a connection between the measured and real distances for the UWB indoor positioning system. This connection is used to produce a distance database that may be used to generate fringerprints. We created a BP neural network to classify the target node to the relevant fringerpint using the distance database. Our suggested deep learning technology considerably enhances location accuracy when compared to existing trilateration systems.

preprint2022arXivOpen access
Chenyu WangZihuai Lin
eess.SP
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Chenyu WangZihuai Lin

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