TY - GEN
T1 - Polarization Mismatch Analysis of the Randomly-Oriented RFID Tags Based on Monte Carlo Analysis
AU - Kong, Linghui
AU - Du, Haijun
AU - Wu, Difan
AU - Liu, Xueguan
PY - 2023
Y1 - 2023
N2 - This paper investigates the polarization mismatch influences from randomly-oriented tags to detection efficiencies for radio frequency identification (RFID) applications. The random numbers produced by Monte-Carlo method are used to define the orientation relationships between the different polarized reader and tag antennas, and further employed for the modeling and simulation analysis. Considering the polarization mismatch and environmental influences, the transmission losses over free space are calculated by the modified Friis equation. It is then used to compute the final detection efficiencies under different polarizations. The results are obtained under different transmitting powers and distances to give the guideline for the polarization reconfigurable reader antenna design. © 2023 Applied Computational Electromagnetics Society (ACES).
AB - This paper investigates the polarization mismatch influences from randomly-oriented tags to detection efficiencies for radio frequency identification (RFID) applications. The random numbers produced by Monte-Carlo method are used to define the orientation relationships between the different polarized reader and tag antennas, and further employed for the modeling and simulation analysis. Considering the polarization mismatch and environmental influences, the transmission losses over free space are calculated by the modified Friis equation. It is then used to compute the final detection efficiencies under different polarizations. The results are obtained under different transmitting powers and distances to give the guideline for the polarization reconfigurable reader antenna design. © 2023 Applied Computational Electromagnetics Society (ACES).
KW - Friis equation
KW - Monte Carlo analysis
KW - polarization mismatch
KW - RFID
UR - https://www.scopus.com/pages/publications/85174265677
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85174265677&origin=recordpage
U2 - 10.23919/ACES-China60289.2023.10249880
DO - 10.23919/ACES-China60289.2023.10249880
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 9798350317909
T3 - International Applied Computational Electromagnetics Society Symposium, ACES-China
BT - 2023 International Applied Computational Electromagnetics Society Symposium, ACES-China 2023
PB - IEEE
T2 - 2023 International Applied Computational Electromagnetics Society Symposium (ACES-China 2023)
Y2 - 15 August 2023 through 18 August 2023
ER -