Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)

Li Sheng Hsu; Deng Cheng Tsai; Hei Man Chen; Yun Han Chang; Yang Liu; Chi Wai Chow; Shao Hua Song; Chien Hung Yeh

Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)

Li Sheng Hsu, Deng Cheng Tsai, Hei Man Chen, Yun Han Chang, Yang Liu, Chi Wai Chow^*, Shao Hua Song, Chien Hung Yeh

^*Corresponding author for this work

Department of Photonics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutionalneural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.

Original language	English
Title of host publication	Optical Fiber Communication Conference, OFC 2022
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Electronic)	9781557528209
State	Published - 2022
Event	Optical Fiber Communication Conference, OFC 2022 - San Diego, United States Duration: 6 Mar 2022 → 10 Mar 2022

Publication series

Name	Optics InfoBase Conference Papers

Conference

Conference	Optical Fiber Communication Conference, OFC 2022
Country/Territory	United States
City	San Diego
Period	6/03/22 → 10/03/22

Cite this

Hsu, L. S., Tsai, D. C., Chen, H. M., Chang, Y. H., Liu, Y., Chow, C. W., Song, S. H., & Yeh, C. H. (2022). Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP). In Optical Fiber Communication Conference, OFC 2022 Article W3I.6 (Optics InfoBase Conference Papers). Optica Publishing Group (formerly OSA).

@inproceedings{93473443096443ab9cd90c07409ae0da,

title = "Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)",

abstract = "We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutionalneural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.",

author = "Hsu, {Li Sheng} and Tsai, {Deng Cheng} and Chen, {Hei Man} and Chang, {Yun Han} and Yang Liu and Chow, {Chi Wai} and Song, {Shao Hua} and Yeh, {Chien Hung}",

note = "Publisher Copyright: {\textcopyright} Optica Publishing Group 2022, {\textcopyright} 2022 The Author(s); Optical Fiber Communication Conference, OFC 2022 ; Conference date: 06-03-2022 Through 10-03-2022",

year = "2022",

language = "English",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "Optical Fiber Communication Conference, OFC 2022",

address = "美國",

}

Hsu, LS, Tsai, DC, Chen, HM, Chang, YH, Liu, Y, Chow, CW, Song, SH & Yeh, CH 2022, Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP). in Optical Fiber Communication Conference, OFC 2022., W3I.6, Optics InfoBase Conference Papers, Optica Publishing Group (formerly OSA), Optical Fiber Communication Conference, OFC 2022, San Diego, United States, 6/03/22.

Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP). / Hsu, Li Sheng; Tsai, Deng Cheng; Chen, Hei Man et al.
Optical Fiber Communication Conference, OFC 2022. Optica Publishing Group (formerly OSA), 2022. W3I.6 (Optics InfoBase Conference Papers).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)

AU - Hsu, Li Sheng

AU - Tsai, Deng Cheng

AU - Chen, Hei Man

AU - Chang, Yun Han

AU - Liu, Yang

AU - Chow, Chi Wai

AU - Song, Shao Hua

AU - Yeh, Chien Hung

PY - 2022

Y1 - 2022

N2 - We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutionalneural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.

AB - We propose and demonstrate a received-signal-strength (RSS) pre-processing scheme to mitigate light-deficient-region occurred in visible-light-positioning (VLP) and convolutionalneural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.

UR - http://www.scopus.com/inward/record.url?scp=85136990754&partnerID=8YFLogxK

M3 - Conference contribution

AN - SCOPUS:85136990754

T3 - Optics InfoBase Conference Papers

BT - Optical Fiber Communication Conference, OFC 2022

PB - Optica Publishing Group (formerly OSA)

T2 - Optical Fiber Communication Conference, OFC 2022

Y2 - 6 March 2022 through 10 March 2022

ER -

Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP)

Abstract

Publication series

Conference

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