Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/140779
Title: Experimental demonstration of indoor sub-decimeter accuracy VLP system using differential PDOA
Authors: Zhang, Sheng
Zhong, Wen-De
Du, Pengfei
Chen, Chen
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2018
Source: Zhang, S., Zhong, W.-D., Du, P., & Chen, C. (2018). Experimental demonstration of indoor sub-decimeter accuracy VLP system using differential PDOA. IEEE Photonics Technology Letters, 30(19), 1703-1706. doi:10.1109/lpt.2018.2866402
Journal: IEEE Photonics Technology Letters
Abstract: In this letter, we for the first time experimentally demonstrate a sub-decimeter accuracy visible light positioning (VLP) system using a modified phase difference of arrival (PDOA) algorithm, i.e., differential PDOA (DPDOA). Compared with the conventional PDOA algorithm where local oscillators (LOs) are used at the receiver side, the DPDOA algorithm does not require LOs by using the differential phase difference method. Moreover, Kalman filtering is used to reduce the variation of distance difference estimation and neural network is also adopted for mitigating the position shifting error caused by the nonuniform initial time delay pattern of the off-the-shelf LEDs. Experimental results show that the proposed VLP system achieves an average root-mean-square positioning error (RMSPE) of 1.8cm and a maximum RMSPE of 8 cm with a coverage of 1×1.2m2 and a height of 2m.
URI: https://hdl.handle.net/10356/140779
ISSN: 1041-1135
DOI: 10.1109/LPT.2018.2866402
Schools: School of Electrical and Electronic Engineering 
Rights: © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/LPT.2018.2866402
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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