TY - GEN
T1 - An Indoor Visible Light Positioning System Using Artificial Neural Network
AU - Lin, Chun
AU - Lin, Bangjiang
AU - Tang, Xuan
AU - Zhou, Zhenlei
AU - Zhang, Haiguang
AU - Chaudhary, Sushank
AU - Ghassemlooy, Zabih
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/12/28
Y1 - 2018/12/28
N2 - 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.
AB - 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.
KW - Visible light communications (VLC)
KW - artificial neural network (ANN)
KW - indoor positioning
KW - optical camera communications (OCC)
UR - https://www.scopus.com/pages/publications/85061441138
U2 - 10.1109/ACP.2018.8596227
DO - 10.1109/ACP.2018.8596227
M3 - 会议稿件
AN - SCOPUS:85061441138
T3 - Asia Communications and Photonics Conference, ACP
BT - 2018 Asia Communications and Photonics Conference, ACP 2018
PB - OSA - The Optical Society
T2 - 2018 Asia Communications and Photonics Conference, ACP 2018
Y2 - 26 October 2018 through 29 October 2018
ER -