A Novel Experimental Approach to the Applicability of High-Sensitivity Giant Magneto-Impedance Sensors in Magnetic Field Communication

This article presents a new application field of a giant magneto-impedance (GMI) sensor. It shows valuable findings for the GMI sensor on the possibility of a new receiving element in magnetic field communication. The proposed GMI sensors serve as antennas and mixers in receiver systems. They have the advantage of being easily implemented and in terms of mass production and manufacturing processes due to the manufacture base on a printed circuit board (PCB). Their smaller size, lower cost, and higher sensitivity have more advantages than conventional magnetic sensors, such as the magneto-inductive, anisotropic magneto-resistive, and giant magneto-resistive sensors. Two types of PCB-based GMI sensors are proposed. The first type of GMI sensor is directly wound around the solenoid-shaped pickup coil onto an alumina insulation tube inserted with an amorphous microwire. The second type of GMI sensor has a patterned pickup coil that does not require the winding of the coil, similar to the patterned pickup coil of a micro electro-mechanical system-based GMI sensor. This GMI sensor provides a new geometry that can be easily manufactured with two PCB substrates. The proposed GMI sensors achieve the equivalent magnetic noise spectral density to the high-sensitivity characteristics of the pT/ $\surd $ Hz level. The equivalent magnetic noise spectral density of 1.5 pT/ $\surd $ Hz at 20.03 MHz is obtained for the first type of GMI sensor, and 3 pT/ $\surd $ Hz at 3.03 MHz is achieved the second type. The analyzed results of the bandwidth and the channel capacity for the two types of GMI sensors are acceptable. This first analysis confirms the possibility of the implementation of GMI sensors in magnetic field communication. The results of this experiment confirm the high performance of the proposed GMI sensors and their applicability in magnetic field communication. The detailed experimental results of the proposed GMI sensors are presented and discussed.

[1]  B. Dufay,et al.  Characterization of an Optimized Off-Diagonal GMI-Based Magnetometer , 2013, IEEE Sensors Journal.

[2]  Y. Kayano,et al.  Detection of wide band signal by a high frequency carrier-type magnetic probe , 2006 .

[3]  Agathoniki Trigoni,et al.  Impact of Rocks and Minerals on Underground Magneto-Inductive Communication and Localization , 2016, IEEE Access.

[4]  Hua-Xin Peng,et al.  Ferromagnetic Microwire Composites: From Sensors to Microwave Applications , 2016 .

[5]  Shih-Jui Chen,et al.  Multilayered vectorial fluxgate magnetometer based on PCB technology and dispensing process , 2019, Measurement Science and Technology.

[6]  Gunyoung Kim,et al.  Wireless Power Transfer Efficiency Formula Applicable in Near and Far Fields , 2019, Journal of Electromagnetic Engineering and Science.

[7]  Eugene Paperno,et al.  Suppression of magnetic noise in the fundamental-mode orthogonal fluxgate , 2004 .

[8]  P. Ripka,et al.  Crossfield Sensitivity in AMR Sensors , 2009, IEEE Transactions on Magnetics.

[9]  Maurice Hott,et al.  Magnetic Communication Using High-Sensitivity Magnetic Field Detectors , 2019, Sensors.

[10]  Linlin Chen,et al.  An Improved Target-Field Method for the Design of Uniform Magnetic Field Coils in Miniature Atomic Sensors , 2019, IEEE Access.

[11]  Stuart T. Smith,et al.  Giant magnetoresistance-based eddy-current sensor , 2001 .

[12]  Ian F. Akyildiz,et al.  Underground Wireless Communication Using Magnetic Induction , 2009, 2009 IEEE International Conference on Communications.

[13]  Sydney S. Cash,et al.  Highly Sensitive Flexible Magnetic Sensor Based on Anisotropic Magnetoresistance Effect , 2016, Advanced materials.

[14]  Hua-Xin Peng,et al.  Giant magnetoimpedance materials: Fundamentals and applications , 2008 .

[15]  Luděk Kraus,et al.  Off-diagonal GMI sensor with stress-annealed amorphous ribbon , 2010 .

[16]  V. Gerginov,et al.  Prospects for magnetic field communications and location using quantum sensors. , 2017, The Review of scientific instruments.

[17]  Aktham Asfour,et al.  Toward a Novel Digital Electronic Conditioning for the GMI Magnetic Sensors: The Software Defined Radio , 2015, IEEE Transactions on Magnetics.

[18]  Basile Dufay,et al.  Noise Behavior of High Sensitive GMI-Based Magnetometer Relative to Conditioning Parameters , 2015, IEEE Transactions on Magnetics.

[19]  Yoan Shin,et al.  Efficient Routing Protocol Based on Reinforcement Learning for Magnetic Induction Underwater Sensor Networks , 2019, IEEE Access.

[20]  Kyung-Geun Lee,et al.  Optimized Energy Harvesting, Cluster-Head Selection and Channel Allocation for IoTs in Smart Cities , 2016, Sensors.

[21]  Sein Oh,et al.  Sensitivity Enhancement of a Vertical-Type CMOS Hall Device for a Magnetic Sensor , 2018 .

[22]  Kiwoong Kim,et al.  SQUID-based ultralow-field MRI of a hyperpolarized material using signal amplification by reversible exchange , 2019, Scientific Reports.

[23]  J. Rigelsford,et al.  Magnetic Sensors and Magnetometers , 2002 .

[24]  J. Corum,et al.  RF coils, helical resonators and voltage magnification by coherent spatial modes , 2001, 5th International Conference on Telecommunications in Modern Satellite, Cable and Broadcasting Service. TELSIKS 2001. Proceedings of Papers (Cat. No.01EX517).

[25]  L. V. Panina,et al.  Magneto‐impedance effect in amorphous wires , 1994 .

[26]  Hugo Ferreira,et al.  Magnetic microbead detection using the planar Hall effect , 2005 .

[27]  Lixin Xu,et al.  Highly Integrated MEMS Magnetic Sensor Based on GMI Effect of Amorphous Wire , 2019, Micromachines.

[28]  Yongliang Wang,et al.  High-Performance Dual-Channel Squid-Based TEM System and Its Application , 2019, IEEE Transactions on Applied Superconductivity.

[29]  Junlei Song,et al.  Impact of Adjustment of the Static Working Point on the 1/f Noise in a Negative Feedback GMI Magnetic Sensor , 2019, IEEE Sensors Journal.

[30]  Tsuyoshi Uchiyama,et al.  Giant magneto-impedance in Co-rich amorphous wires and films , 1995 .