Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

Bo An Chen; Po Hsuan Tseng; Kai Ten Feng; Tian Sheng Wang

doi:10.1109/ICCE-TW.2016.7521009

Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

Bo An Chen
, Po Hsuan Tseng
, Kai Ten Feng
, Tian Sheng Wang

電子工程系

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

2 引文斯高帕斯（Scopus）

摘要

Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

原文	English
主出版物標題	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
發行者	Institute of Electrical and Electronics Engineers Inc.
ISBN（電子）	9781509020737
DOIs	https://doi.org/10.1109/ICCE-TW.2016.7521009
出版狀態	Published - 25 7月 2016
事件	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 - Nantou County, Taiwan 持續時間: 27 5月 2016 → 30 5月 2016

出版系列

名字	2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Conference

Conference	3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016
國家/地區	Taiwan
城市	Nantou County
期間	27/05/16 → 30/05/16

文獻附註

Publisher Copyright:
© 2016 IEEE.

存取文件

10.1109/ICCE-TW.2016.7521009

其它文件與鏈接

Link to publication in Scopus

引用此

Chen, B. A., Tseng, P. H., Feng, K. T., & Wang, T. S. (2016). Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. 於 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 文章 7521009 (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCE-TW.2016.7521009

@inproceedings{e91d95e6b31945c49cb48ad7f71c7f7b,

title = "Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems",

abstract = "Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.",

author = "Chen, \{Bo An\} and Tseng, \{Po Hsuan\} and Feng, \{Kai Ten\} and Wang, \{Tian Sheng\}",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016 ; Conference date: 27-05-2016 Through 30-05-2016",

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series = "2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016",

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Chen, BA, Tseng, PH, Feng, KT & Wang, TS 2016, Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. 於 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016., 7521009, 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Institute of Electrical and Electronics Engineers Inc., 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016, Nantou County, Taiwan, 27/05/16. https://doi.org/10.1109/ICCE-TW.2016.7521009

Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. / Chen, Bo An; Tseng, Po Hsuan; Feng, Kai Ten 等.
2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7521009 (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016).

研究成果: 書籍/報告/會議論文中的章節 › 會議投稿 › 同行評審

TY - GEN

T1 - Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

AU - Chen, Bo An

AU - Tseng, Po Hsuan

AU - Feng, Kai Ten

AU - Wang, Tian Sheng

PY - 2016/7/25

Y1 - 2016/7/25

N2 - Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

AB - Fingerprinting is one of the most reliable technique for indoor positioning. The concept of the fingerprinting is to compare the offline received signal strength (RSS) database and online RSS measurement to find the most similar reference point to represent the user position. However, fingerprinting is sensitive to the environmental changes, where the offline database is required to be updated. In this paper, we discuss the offline and online measurement mismatch when the transmission power is altered by the Wi-Fi access point. We propose dynamic adjustment (DA) algorithm to reduce the influence caused by the power variation. Experimental results validate that the proposed DA algorithm maintains the positioning accuracy under the power adjustment.

UR - https://www.scopus.com/pages/publications/84983517749

U2 - 10.1109/ICCE-TW.2016.7521009

DO - 10.1109/ICCE-TW.2016.7521009

M3 - ???researchoutput.researchoutputtypes.contributiontobookanthology.conference???

AN - SCOPUS:84983517749

T3 - 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

BT - 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 3rd IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016

Y2 - 27 May 2016 through 30 May 2016

ER -

Chen BA, Tseng PH, Feng KT, Wang TS. Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems. 於 2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7521009. (2016 IEEE International Conference on Consumer Electronics-Taiwan, ICCE-TW 2016). doi: 10.1109/ICCE-TW.2016.7521009

Fingerprinting-based dynamic RSS adjustment for time-variant indoor positioning systems

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