A novel 3D measurement of RFID multi‐tag network based on MWCNN and ELM-Reference-Cited by-同舟云学术

A novel 3D measurement of RFID multi‐tag network based on MWCNN and ELM

Published:2021-08-21 Issue:1 Volume:16 Page:15-27
ISSN:1751-8822
Container-title:IET Science, Measurement & Technology
language:en
Short-container-title:IET Science Measure & Tech

Author:

Yu Xiaolei¹²,Zhuang Xiao¹³,Liu Zhenlu¹,Zhao Zhimin¹,Li Lin¹,Zhang Wenjie¹

Affiliation:

1. College of Science Nanjing University of Aeronautics and Astronautics Nanjing People's Republic of China

2. National Quality Supervision and Testing Center for RFID Product (Jiangsu) Nanjing People's Republic of China

3. Department of Mechanical and Industrial Engineering University of Toronto Toronto Ontario Canada

Funder

Six Talent Peaks Project in Jiangsu Province

Publisher

Institution of Engineering and Technology (IET)

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/smt2.12078

Reference27 articles.

1. A Review of Passive RFID Tag Antenna-Based Sensors and Systems for Structural Health Monitoring Applications

2. Ni L.M. et al.:LANDMARC: Indoor location sensing using active RFID. In:Proceedings of the First IEEE International Conference on Pervasive Computing and Communications 2003.Fort Worth Texas pp.407–415(2003)

3. VIRE: Virtual reference elimination for active RFID‐based localization;Zhao Y.;Adhoc Sensor Wireless Networks,2013

4. A comprehensive multi-factor analysis on RFID localization capability

5. An RFID Indoor Positioning Algorithm Based on Bayesian Probability and K-Nearest Neighbor

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