Experimental Study on the Impact of Soil Conductivity on Underground Magneto-Inductive Channel

Ma, Jingjing; Zhang, Xiaolin; Huang, Qiwei; Cheng, Liang; Lu, Mingyu

doi:10.1109/lawp.2015.2423687

Cited by 14 publications

(11 citation statements)

References 8 publications

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“…Experiments have been conducted in the range of 0-20 S/m, whereas simulations using the CST numerical package have examined the variation of the mutual inductance over broad variations of all the relevant parameters. In addition, we have assessed the accuracy of a proposal in the literatures [18,22] that the skin effect expression for attenuation might provide a good estimate. We have found that this is indeed a too simplistic and crude approximation.…”

Section: Discussionmentioning

confidence: 99%

“…This is far from a trivial question. In many publications, among which [18,22], it is suggested that it suffices to consider the path loss, i.e. the attenuation of the wave in the conducting medium, and that this decline can be accounted for by using the expression for the attenuation of a plane wave (PW) in a conductive half space.…”

Section: Variation Of the Magnetic Field And The Poynting Vectormentioning

confidence: 99%

“…Digital signal transmission was considered in [20] and various optimisation techniques in [21]. An experimental study under realistic soil conditions was conducted in [22]. Underwater applications were discussed in [23,24] and pipeline monitoring in [25].…”

Section: Introductionmentioning

confidence: 99%

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Coupling between coils in the presence of conducting medium

Vallecchi

Chu

Solymár

et al. 2018

IET Microwaves, Antennas & Propagation

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The authors have studied analytically by simulation and by experiment the impact of a conducting medium on the mutual inductance between two coils, in particular as related to the attenuation of magneto‐inductive (MI) waves. To illustrate the physics, the distributions of both the magnetic field and the Poynting vector are determined. They show that the plane wave approach used in the literature for the theoretical description of MI attenuation has only limited validity. It is further found that the mutual inductance becomes a complex quantity, its modulus declining monotonically as a function of conductivity or medium thickness. Their results will be relevant for the design and optimisation of MI waveguide links in conducting media, in general, and particularly when the attenuation is caused by soil conductivity. The results can also be useful for practical applications including in vivo communication and wireless power transfer for medical implants.

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Section: Discussionmentioning

confidence: 99%

Section: Variation Of the Magnetic Field And The Poynting Vectormentioning

confidence: 99%

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Coupling between coils in the presence of conducting medium

Vallecchi

Chu

Solymár

et al. 2018

IET Microwaves, Antennas & Propagation

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“…Low frequency (LF) electromagnetic signals are less prone to multipath effect and provide good obstacle penetration in near field [1,2]. Low frequency communication, taking advantage of these features, is an alternative solution for through-the-earth (TTE) wireless applications, such as subsurface wireless data acquisition [3], underground localization [4,5] and magnetic resonance sounding [6].…”

Section: Introductionmentioning

confidence: 99%

Adaptive Noise Cancellation Based on Time Delay Estimation for Low Frequency Communication

Wang

Zhang

et al. 2018

Applied Sciences

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Low frequency communication, taking advantage of the features of low frequency electromagnetic signals in near field, is widely used in through-the-earth (TTE) wireless applications. However, the low frequency non-Gaussian noise severely limits the communication performance. In this paper, an adaptive noise cancellation algorithm based on time delay estimation (ANC-TDE) and maximum correntropy criterion (MCC) is proposed. The explicit time delay estimation algorithm based on MCC (MCC-ETDE) is used to estimate the time-varying delay and the noise correlationship between the primary input and reference inputs. With a reference noise selected and time delay compensated, the non-Gaussian noise is canceled by adaptive filter based on MCC. The proposed algorithm is implemented on field programmable gate array (FPGA) and the performance is evaluated by simulation and experiment. As shown in the results, the ANC-TDE algorithm can reduce the complexity of ANC filter and adaptively compensate the varied time delay between the primary input and reference input. With the time delay compensated, the ANC-TDE algorithm has better performance in non-Gaussian noise environment and is more suitable for real-time systems.

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“…Near-field electromagnetic (EM) interactions are used in various application areas such as magnetic induction (MI) communications [1], MI tomography [2,3] and wireless power transfer [4]. They are being increasingly employed in wireless underground sensor networks [5,6] for applications such as environmental monitoring (in soil [7] and water [8]), landslide inspection [9] and underground pipeline surveillance [10]. Traditional wireless sensor approaches are inhibited by the complex propagation media encountered (e.g.…”

Section: Introductionmentioning

confidence: 99%

A physical model for low-frequency electromagnetic induction in the near field based on direct interaction between transmitter and receiver electrons

et al. 2016

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A physical model of electromagnetic induction is developed which relates directly the forces between electrons in the transmitter and receiver windings of concentric coaxial finite coils in the near-field region. By applying the principle of superposition, the contributions from accelerating electrons in successive current loops are summed, allowing the peak-induced voltage in the receiver to be accurately predicted. Results show good agreement between theory and experiment for various receivers of different radii up to five times that of the transmitter. The limitations of the linear theory of electromagnetic induction are discussed in terms of the non-uniform current distribution caused by the skin effect. In particular, the explanation in terms of electromagnetic energy and Poynting’s theorem is contrasted with a more direct explanation based on variable filament induction across the conductor cross section. As the direct physical model developed herein deals only with forces between discrete current elements, it can be readily adapted to suit different coil geometries and is widely applicable in various fields of research such as near-field communications, antenna design, wireless power transfer, sensor applications and beyond.

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Experimental Study on the Impact of Soil Conductivity on Underground Magneto-Inductive Channel

Cited by 14 publications

References 8 publications

Coupling between coils in the presence of conducting medium

Coupling between coils in the presence of conducting medium

Adaptive Noise Cancellation Based on Time Delay Estimation for Low Frequency Communication

A physical model for low-frequency electromagnetic induction in the near field based on direct interaction between transmitter and receiver electrons

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