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arXiv · 2204.07933

Precise Indoor Positioning Based on UWB and Deep Learning

Chenyu Wang·Zihuai Lin
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Abstract

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.

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Chenyu Wang, Zihuai Lin. 2022-04-17. Precise Indoor Positioning Based on UWB and Deep Learning. https://arxiv.org/abs/2204.07933

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