TY - GEN
T1 - Pokeball
T2 - Joint 10th IEEE International Conference on Internet of Things, iThings 2017, 13th IEEE International Conference on Green Computing and Communications, GreenCom 2017, 10th IEEE International Conference on Cyber, Physical and Social Computing, CPSCom 2017 and the 3rd IEEE International Conference on Smart Data, Smart Data 2017
AU - Chen, Wei Tung
AU - Chen, Ling Jyh
N1 - Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/2
Y1 - 2017/7/2
N2 - We present a 3D positioning system called Pokeball, which uses a single-source magnetic sphere. The system comprises three mutually orthogonal coils and an Arbitrary Waveform Generator (AWG) to generate the designated signals. By applying Frequency Division Multiplexing (FDM), Pokeball generates two rotating magnetic fields with different frequencies of phase-quadrature current signals. The positioning object is equipped with a three-axis magnetoresistive sensor that measures the strength of the magnetic field and extracts the results into two signals with different frequencies. The phases of the two signals are used to determine the elevation and azimuth angles, while the amplitudes of the signals are used to calculate the distance between the source and the object. Then, based on the calculations, the location of the object is determined. The results of a comprehensive set of experiments demonstrate that Pokeball can achieve an accuracy of less than 40 cm for positioning errors in its effective positioning range. Moreover, Pokeball does not require site surveys, and it is robust against radio interference and environmental obstructions. Our approach has a great deal of potential for use in a wide range of applications, such as mobile systems, wearable computing devices, and location-based applications, where an instantaneous and accurate indoor 3D positioning system is essential.
AB - We present a 3D positioning system called Pokeball, which uses a single-source magnetic sphere. The system comprises three mutually orthogonal coils and an Arbitrary Waveform Generator (AWG) to generate the designated signals. By applying Frequency Division Multiplexing (FDM), Pokeball generates two rotating magnetic fields with different frequencies of phase-quadrature current signals. The positioning object is equipped with a three-axis magnetoresistive sensor that measures the strength of the magnetic field and extracts the results into two signals with different frequencies. The phases of the two signals are used to determine the elevation and azimuth angles, while the amplitudes of the signals are used to calculate the distance between the source and the object. Then, based on the calculations, the location of the object is determined. The results of a comprehensive set of experiments demonstrate that Pokeball can achieve an accuracy of less than 40 cm for positioning errors in its effective positioning range. Moreover, Pokeball does not require site surveys, and it is robust against radio interference and environmental obstructions. Our approach has a great deal of potential for use in a wide range of applications, such as mobile systems, wearable computing devices, and location-based applications, where an instantaneous and accurate indoor 3D positioning system is essential.
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U2 - 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.111
DO - 10.1109/iThings-GreenCom-CPSCom-SmartData.2017.111
M3 - Conference contribution
AN - SCOPUS:85047405110
T3 - Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
SP - 719
EP - 726
BT - Proceedings - 2017 IEEE International Conference on Internet of Things, IEEE Green Computing and Communications, IEEE Cyber, Physical and Social Computing, IEEE Smart Data, iThings-GreenCom-CPSCom-SmartData 2017
A2 - Wu, Yulei
A2 - Min, Geyong
A2 - Georgalas, Nektarios
A2 - Al-Dubi, Ahmed
A2 - Jin, Xiaolong
A2 - Yang, Laurence T.
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 21 June 2017 through 23 June 2017
ER -
