Buffer-Aided Collision Resolution for UHF RFID

Author(s):  
Gan Luan ◽  
Norman C. Beaulieu ◽  
Xianpeng Wang ◽  
Mengxing Huang
2021 ◽  
Vol 2021 ◽  
pp. 1-11
Author(s):  
Yu Zeng ◽  
Hongwei Ding

In an ultrahigh frequency (UHF) radio frequency identification (RFID) system, the throughput can be greatly improved by collision resolution on a physical layer when tags collide, and high-performance coding technology can improve the bit error rate (BER) performance of the physical-layer separation. Most of the traditional physical collision resolutions focus on the code with a single subcarrier. This paper pays more attention to Miller code with multiple subcarriers and proposes a novel physical-layer separation method based on the Miller code. In this method, the separated collision signals are multiplied by clock signals with the same frequency as the subcarrier to complete the frequency shift. And then, a coherent demodulation and a low-pass filter are used to remove high-frequency separation noise. In the simulation, the Miller code with more subcarriers has lower BER than FM0 code with a single carrier. Especially when Miller 8 is selected, the separation efficiency and BER performance of the proposed method are 4 dB higher than those of the traditional XOR method at lower SNR.


2015 ◽  
Vol 6 (4) ◽  
pp. 171-184
Author(s):  
Liangbo Xie ◽  
Jiaxin Liu ◽  
Yao Wang ◽  
Chuan Yin ◽  
Guangjun Wen

2011 ◽  
Vol 25 (5) ◽  
pp. 468-473
Author(s):  
Weifeng Liu ◽  
Yiqi Zhuang ◽  
Zengwei Qi ◽  
Longfei Tang

2017 ◽  
Vol 59 (5) ◽  
pp. 159-168 ◽  
Author(s):  
Riccardo Colella ◽  
Almudena Rivadeneyra ◽  
Alberto J. Palma ◽  
Luciano Tarricone ◽  
Luis Fermin Capitan-Vallvey ◽  
...  
Keyword(s):  
Uhf Rfid ◽  

2021 ◽  
pp. 1-7
Author(s):  
Yanhan Zeng ◽  
Yuxing Liao ◽  
Xiheng Chen ◽  
Hong-zhou Tan

Sensors ◽  
2021 ◽  
Vol 21 (3) ◽  
pp. 717
Author(s):  
Farhad Shamsfakhr ◽  
Andrea Motroni ◽  
Luigi Palopoli ◽  
Alice Buffi ◽  
Paolo Nepa ◽  
...  

Autonomous vehicles enable the development of smart warehouses and smart factories with an increased visibility, flexibility and efficiency. Thus, effective and affordable localisation methods for indoor vehicles are attracting interest to implement real-time applications. This paper presents an Extended Kalman Smoother design to both localise a mobile agent and reconstruct its entire trajectory through a sensor-fusion employing the UHF-RFID passive technology. Extensive simulations are carried out by considering the smoother optimal-window length and the effect of missing measurements from reference tags. Monte Carlo simulations are conducted for different vehicle trajectories and for different linear and angular velocities to evaluate the method accuracy. Then, an experimental analysis with a unicycle wheeled robot is performed in real indoor scenario, showing a position and orientation root mean square errors of 15 cm, and 0.2 rad, respectively.


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