2023
DOI: 10.1063/5.0147861
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Tilted-angle insensitive received signal strength in visible light positioning systems using a deep neural network trained by synthetic data

Abstract: Despite extensive research on received signal strength (RSS)-based visible light positioning (VLP), the receiver (RX) is assumed to stand vertically during the positioning process in most reported system designs. In this work, we propose a positioning strategy using a deep neural network (DNN) trained by synthetic data to address this problem. We further explicitly state the deficiencies in the current RSS-VLP algorithms when handling positioning problems involving RX orientation. Compared with existing RSS-VL… Show more

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