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 Son; 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 Son, Chien Hung Yeh

^*Corresponding author for this work

Department of Photonics

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

6 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 convolutional-neural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.

Original language	English
Title of host publication	2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781557524669
State	Published - 2022
Event	2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - San Diego, United States Duration: 6 Mar 2022 → 10 Mar 2022

Publication series

Name	2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

Conference

Conference	2022 Optical Fiber Communications Conference and Exhibition, 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., Son, 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 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings Article W3I.6 (2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings). Institute of Electrical and Electronics Engineers Inc..

Hsu, Li Sheng ; Tsai, Deng Cheng ; Chen, Hei Man et al. / Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP). 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. (2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings).

@inproceedings{96ac7a8210dd4352826f32eb20f88e34,

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 convolutional-neural-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 Son, {Shao Hua} and Yeh, {Chien Hung}",

note = "Publisher Copyright: {\textcopyright} 2022 Author(s); 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 ; Conference date: 06-03-2022 Through 10-03-2022",

year = "2022",

language = "English",

series = "2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings",

address = "美國",

}

Hsu, LS, Tsai, DC, Chen, HM, Chang, YH, Liu, Y, Chow, CW, Son, 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 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings., W3I.6, 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings, Institute of Electrical and Electronics Engineers Inc., 2022 Optical Fiber Communications Conference and Exhibition, 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.
2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2022. W3I.6 (2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings).

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 - Son, 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 convolutional-neural-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 convolutional-neural-network (CNN) to enhance VLP performance. The RSS pre-processing and CNN model are discussed.

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M3 - Conference contribution

AN - SCOPUS:85128895692

T3 - 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

BT - 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022

Y2 - 6 March 2022 through 10 March 2022

ER -

Hsu LS, Tsai DC, Chen HM, Chang YH, Liu Y, Chow CW et al. Using Received-Signal-Strength (RSS) Pre-Processing and Convolutional Neural Network (CNN) to Enhance Position Accuracy in Visible Light Positioning (VLP). In 2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2022. W3I.6. (2022 Optical Fiber Communications Conference and Exhibition, OFC 2022 - Proceedings).

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

Abstract

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