Research on Indoor Positioning Technology Based on RFID

被引：0
|
作者：
Du, Huaichang [1 ]
机构：
[1] Commun Univ China, Sch Informat Engn, Beijing, Peoples R China
来源：
KNOWLEDGE DISCOVERY AND DATA MINING | 2012年 / 135卷
关键词：
Radio frequency identification; Indoor localization; positioning algorithm; clustering algorithm;
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The global positioning system (GPS) in the indoor is difficult to use, ultrasound, infrared and other indoor positioning technology in positioning accuracy and the accuracy has evident defects. RFID based indoor positioning technology is a hot topic at present. The paper introduces the indoor location algorithm based on RFID, especially LANDMARC indoor positioning theory. And on this basis, it improves traditional method by introducing cluster analysis. The simulation results show that the improved algorithm is better than the original algorithm in positioning accuracy.
引用
收藏
页码：109 / 115
页数：7
相关论文
共 50 条
  • [41] Images Based Indoor Positioning Using AI and Crowdsourcing
    Shahid, Eman
    Arain, Qasim
    Kumari, Sandia
    Farah, Isma
    PROCEEDINGS OF 2019 8TH INTERNATIONAL CONFERENCE ON EDUCATIONAL AND INFORMATION TECHNOLOGY (ICEIT 2019), 2019, : 97 - 101
  • [42] RFID - Hybrid Scene Analysis-Neural Network System for 3D Indoor Positioning
    Jachimczyk, Bartosz
    Dziak, Damian
    Kulesza, Wlodek J.
    2014 IEEE INTERNATIONAL INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE (I2MTC) PROCEEDINGS, 2014, : 191 - 196
  • [43] REAL TIME LOCALIZATION OF ASSETS IN HOSPITALS USING QUUPPA INDOOR POSITIONING TECHNOLOGY
    van der Ham, M. F. S.
    Zlatanova, S.
    Verbree, E.
    Voute, R.
    FIRST INTERNATIONAL CONFERENCE ON SMART DATA AND SMART CITIES, 30TH UDMS, 2016, 4-4 (W1): : 105 - 110
  • [44] Indoor EKF localization algorithm based on RFID carrier phase
    Xie L.
    Liu X.
    Wang Y.
    Zhou M.
    Tian Z.
    Tongxin Xuebao/Journal on Communications, 2022, 43 (03): : 124 - 134
  • [45] A Survey on Indoor Positioning Systems for IoT-Based Applications
    Farahsari, Pooyan Shams
    Farahzadi, Amirhossein
    Rezazadeh, Javad
    Bagheri, Alireza
    IEEE INTERNET OF THINGS JOURNAL, 2022, 9 (10): : 7680 - 7699
  • [46] On Deep Learning-Based Indoor Positioning and Uncertainty Estimation
    Chen, Szu-Wei
    Chiang, Ting-Hui
    Tseng, Yu-Chee
    Chen, Yan-Ann
    IEEE CONFERENCE ON GLOBAL COMMUNICATIONS, GLOBECOM, 2023, : 207 - 212
  • [47] An Improved Indoor Positioning Method Based on Received Signal Strengths
    Li Yunxiao
    Qin Sujuan
    2015 INTERNATIONAL CONFERENCE ON INTELLIGENT TRANSPORTATION, BIG DATA AND SMART CITY (ICITBS), 2016, : 90 - 93
  • [48] WhereArtThou: A WiFi-RTT-Based Indoor Positioning System
    Jurdi, Rebal
    Chen, Hao
    Zhu, Yuming
    Ng, Boon Loong
    Dawar, Neha
    Zhang, Charlie
    Han, Johnny Kyu-Hui
    IEEE ACCESS, 2024, 12 : 41084 - 41101
  • [49] An Improved Indoor Positioning Method Based on Affinity Propagation Clustering
    Deng, Guochuan
    Qin, Sujuan
    PROCEEDINGS OF THE 2016 4TH INTERNATIONAL CONFERENCE ON ADVANCED MATERIALS AND INFORMATION TECHNOLOGY PROCESSING (AMITP 2016), 2016, 60 : 288 - 293
  • [50] Indoor Positioning Based on Fingerprint-Image and Deep Learning
    Shao, Wenhua
    Luo, Haiyong
    Zhao, Fang
    Ma, Yan
    Zhao, Zhongliang
    Crivello, Antonino
    IEEE ACCESS, 2018, 6 : 74699 - 74712
12345