论文信息 - An Indoor Visible Light Positioning System Using Artificial Neural Network

An Indoor Visible Light Positioning System Using Artificial Neural Network

We propose a visible light positioning system based on an artificial neural network (ANN) and optical camera communications. The receiver’s position is approximately and precisely estimated based on the decoded block coordinate and a typical back propagation ANN, respectively. The experimental results show that the proposed scheme offers a mean positioning error of 1.49 cm, which is required in many indoor positioning scenarios where high accuracy is essential.

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