Multipath Interference Analysis for Low-Power RFID-Sensor Under Metal Medium Environment

被引:14
作者
Shi, Guolong [1 ,2 ]
Shen, Xinyi [1 ]
Gu, Lichuan [1 ]
Weng, Shizhuang [3 ]
He, Yigang [2 ]
机构
[1] Anhui Agr Univ, Sch Informat & Comp, Hefei 230036, Anhui, Peoples R China
[2] Wuhan Univ, Sch Elect Engn & Automat, Wuhan 430072, Hubei, Peoples R China
[3] Anhui Univ, Natl Engn Res Ctr Agroecol Big Data Anal & Applic, Hefei 230039, Peoples R China
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
Low-power radio frequency identification (RFID); medium interference; multipath effect; path loss; wireless sensor; TAG;
D O I
10.1109/JSEN.2023.3253571
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Mechanism analysis of the radio frequency identification (RFID)-sensor communication interference can effectively improve the information collection quality of the perception layer. In our study, multipath interference analysis of low-power RFID-sensor under a metal medium environment was considered. First, the dual-antenna RFID-sensor architecture was developed based on a low-power strategy. The multipath loss model and interference theory under a metal medium environment were discussed. Second, by full consideration of electromagnetic interference energy loss factors, the time-frequency domain characteristics of electromagnetic signals, such as direct radiation, refraction, diffraction, scattering, absorption, and polarization were analyzed. Third, the normalized electric field strength between the low-power RFID-sensor with different distances was obtained through simulation/experiment scenarios. The distance between the low-power RFID-sensor and transmitting antennas is represented by r. When r is from 1 to 5 m, the minimum working distance between the RFID-sensor antenna and the metal medium surface changes from 6.9 to 7.0 mm at a frequency of 915 MHz. This article was conducive to expanding the functions of the perception layer system of the Internet of Things (IoT) and enhancing the application potential of existing RFID and sensor networks.
引用
收藏
页码:20561 / 20569
页数:9
相关论文
共 31 条
  • [1] Highly Sensitive Undersea Corrosion Monitoring System
    Alonso-Valdesueiro, Javier
    Madinabeitia, Inaki
    Santos-Pereda, Inigo
    Jorcin, Jean-Baptiste
    Acha-Pena, Esther
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (12) : 12278 - 12287
  • [2] Chipless RFID Sensors for Wearable Applications: A Review
    Behera, Santanu Kumar
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (02) : 1105 - 1120
  • [3] Two-Digit Phase-Coding Strategy for Fringe Projection Profilometry
    Chen, Xiangcheng
    Wu, Jun
    Fan, Ruimei
    Liu, Qing
    Xiao, Yongxin
    Wang, Yuwei
    Wang, Yajun
    [J]. IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
  • [4] A Novel Multiresonant Chipless RFID Tag for Directional Strain Measurement on Metal Surface
    Cheng, Ximeng
    Yu, Yating
    Wang, Fenglong
    Tian, Guiyun
    [J]. IEEE TRANSACTIONS ON MICROWAVE THEORY AND TECHNIQUES, 2023, 71 (02) : 916 - 925
  • [5] A survey on smart grid technologies and applications
    Dileep, G.
    [J]. RENEWABLE ENERGY, 2020, 146 (146) : 2589 - 2625
  • [6] Elbasani E, 2018, ADV COMPUTER SCI UBI, V536, P446
  • [7] PhysFad: Physics-Based End-to-End Channel Modeling of RIS-Parametrized Environments With Adjustable Fading
    Faqiri, Rashid
    Saigre-Tardif, Chloe
    Alexandropoulos, George C.
    Shlezinger, Nir
    Imani, Mohammadreza F.
    del Hougne, Philipp
    [J]. IEEE TRANSACTIONS ON WIRELESS COMMUNICATIONS, 2023, 22 (01) : 580 - 595
  • [8] Device-Free Multitarget Localization With Weighted Intersection Multidimensional Feature for Passive UHF RFID
    Fu, Haoyang
    Ma, Yongtao
    Gong, Xiaolin
    Zhang, Xiaoman
    Wang, Bobo
    Ning, Wanru
    Liang, Xiuyan
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (07) : 7300 - 7310
  • [9] Space-Air-Ground IoT Network and Related Key Technologies
    Hong, Tao
    Zhao, Weiting
    Liu, Rongke
    Kadoch, Michel
    [J]. IEEE WIRELESS COMMUNICATIONS, 2020, 27 (02) : 96 - 104
  • [10] Challenges, Applications, and Future of Wireless Sensors in Internet of Things: A Review
    Jamshed, Muhammad Ali
    Ali, Kamran
    Abbasi, Qammer H.
    Imran, Muhammad Ali
    Ur-Rehman, Masood
    [J]. IEEE SENSORS JOURNAL, 2022, 22 (06) : 5482 - 5494