Experimental demonstration of an indoor positioning system based on artificial neural network

Lin, Bangjiang, Guo, Qingyang, Lin, Chun, Tang, Xuan, Zhou, Zhenlei and Ghassemlooy, Zabih (2019) Experimental demonstration of an indoor positioning system based on artificial neural network. Optical Engineering, 58 (1). 016104. ISSN 0091-3286

Full text not available from this repository.
Official URL: http://dx.doi.org/10.1117/1.OE.58.1.016104

Abstract

We propose a 2-D visible light positioning system based on the artificial neural network (ANN), where the light-emitting diodes are grouped into blocks and the block coordinates are encoded with under-sampled modulation. A camera is used to decode the block coordinate in the receiver. The receiver’s position is approximately and precisely estimated using 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.

Item Type: Article
Subjects: H600 Electronic and Electrical Engineering
Department: Faculties > Engineering and Environment > Mathematics, Physics and Electrical Engineering
Depositing User: Becky Skoyles
Date Deposited: 14 Jan 2019 09:45
Last Modified: 28 Feb 2019 15:41
URI: http://nrl.northumbria.ac.uk/id/eprint/37555

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