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

8 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.

UR - https://www.scopus.com/pages/publications/85128895692

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)

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