An improved three-point localization method based on RSS for transceiver separation RFID systems

Cui Zhu; Shengjian Zhao; Yuanqing Xia; Li Li

doi:10.1016/j.measurement.2021.110283

An improved three-point localization method based on RSS for transceiver separation RFID systems

Cui Zhu^*, Shengjian Zhao, Yuanqing Xia, Li Li

^*Corresponding author for this work

School of Automation

Research output: Contribution to journal › Article › peer-review

8 Citations (Scopus)

Abstract

The indoor localization problem is considered for the transceiver separation radio frequency identification (RFID) system suffering from random noises and multipath interference. An RSS difference method is presented to preprocess the measured RSS to reduce the complexity of system modeling. Then, an improved three-point localization algorithm is designed to estimate the target location. Specifically, two solutions based on 2-norm and non-convex optimization are respectively proposed to weaken the influence of the noises and multipath on positioning performance. The simulation results show that the proposed method can significantly improve the localization accuracy and provide satisfactory robustness in different indoor environments.

Original language	English
Article number	110283
Journal	Measurement: Journal of the International Measurement Confederation
Volume	187
DOIs	https://doi.org/10.1016/j.measurement.2021.110283
Publication status	Published - Jan 2022

Keywords

Indoor localization
Received signal strength
Three-point localization method
Transceiver separation system

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10.1016/j.measurement.2021.110283

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title = "An improved three-point localization method based on RSS for transceiver separation RFID systems",

abstract = "The indoor localization problem is considered for the transceiver separation radio frequency identification (RFID) system suffering from random noises and multipath interference. An RSS difference method is presented to preprocess the measured RSS to reduce the complexity of system modeling. Then, an improved three-point localization algorithm is designed to estimate the target location. Specifically, two solutions based on 2-norm and non-convex optimization are respectively proposed to weaken the influence of the noises and multipath on positioning performance. The simulation results show that the proposed method can significantly improve the localization accuracy and provide satisfactory robustness in different indoor environments.",

keywords = "Indoor localization, Received signal strength, Three-point localization method, Transceiver separation system",

author = "Cui Zhu and Shengjian Zhao and Yuanqing Xia and Li Li",

note = "Publisher Copyright: {\textcopyright} 2021 Elsevier Ltd",

year = "2022",

month = jan,

doi = "10.1016/j.measurement.2021.110283",

language = "English",

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journal = "Measurement: Journal of the International Measurement Confederation",

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T1 - An improved three-point localization method based on RSS for transceiver separation RFID systems

AU - Zhu, Cui

AU - Zhao, Shengjian

AU - Xia, Yuanqing

AU - Li, Li

PY - 2022/1

Y1 - 2022/1

N2 - The indoor localization problem is considered for the transceiver separation radio frequency identification (RFID) system suffering from random noises and multipath interference. An RSS difference method is presented to preprocess the measured RSS to reduce the complexity of system modeling. Then, an improved three-point localization algorithm is designed to estimate the target location. Specifically, two solutions based on 2-norm and non-convex optimization are respectively proposed to weaken the influence of the noises and multipath on positioning performance. The simulation results show that the proposed method can significantly improve the localization accuracy and provide satisfactory robustness in different indoor environments.

AB - The indoor localization problem is considered for the transceiver separation radio frequency identification (RFID) system suffering from random noises and multipath interference. An RSS difference method is presented to preprocess the measured RSS to reduce the complexity of system modeling. Then, an improved three-point localization algorithm is designed to estimate the target location. Specifically, two solutions based on 2-norm and non-convex optimization are respectively proposed to weaken the influence of the noises and multipath on positioning performance. The simulation results show that the proposed method can significantly improve the localization accuracy and provide satisfactory robustness in different indoor environments.

KW - Indoor localization

KW - Received signal strength

KW - Three-point localization method

KW - Transceiver separation system

UR - http://www.scopus.com/inward/record.url?scp=85118534323&partnerID=8YFLogxK

U2 - 10.1016/j.measurement.2021.110283

DO - 10.1016/j.measurement.2021.110283

M3 - Article

AN - SCOPUS:85118534323

SN - 0263-2241

VL - 187

JO - Measurement: Journal of the International Measurement Confederation

JF - Measurement: Journal of the International Measurement Confederation

M1 - 110283

ER -

An improved three-point localization method based on RSS for transceiver separation RFID systems

Abstract

Keywords

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