Dielectric properties of soils in the 0.3-1.3-GHz range

Peplinski, Neil R.; Ulaby, F. T.; Dobson, M.C.

doi:10.1109/36.387598

Cited by 576 publications

(336 citation statements)

References 4 publications

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“…At frequencies up to 18 GHz, [15] evaluated the MW dielectric behaviour of soil-water mixtures and presented a semi empirical mixing model based upon the index of refraction as a function of water content and soil textural composition. [37] extended Dobson's model for wider validity range of frequency. A novel method of combined embedded modulated scattering and near-field MW was developed by [29].…”

Section: Permittivitymentioning

confidence: 99%

Review and Assessment of Electromagnetic Wave Propagation in Sand and Dust Storms at Microwave and Millimeter Wave Bands --- Part I

Musa¹,

Bashir²,

Abdalla³

2014

PIER M

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Abstract-Electromagnetic wave propagation in arid and semi-arid regions is influenced by sand and dust storms. Meagre information has hitherto been reported as to the effect of storms on telecommunication systems operating in such regions. This paper presents a survey of current understanding of the wave propagation during storms. In this first part of the review-Part I, detailed parametric assessment of some electrical and mechanical properties affecting wave propagation in sand and dust storms is given. The second part of the review-Part II describes the principle of approach and technology adopted for the investigation highlighting both strengths and drawbacks. The results demonstrate that most authors have calculated signal attenuation effect, revealing that it is not very significant unless during severe storms. A few papers indicate the possibility of more significant cross polarisation. Part I explicitly gives an account of the sand and dust storms' phenomenon, reviews the storms' parameters affecting electromagnetic wave propagations and discusses the microwave and millimeter wave bands.

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Section: Permittivitymentioning

confidence: 99%

Review and Assessment of Electromagnetic Wave Propagation in Sand and Dust Storms at Microwave and Millimeter Wave Bands --- Part I

Musa¹,

Bashir²,

Abdalla³

2014

PIER M

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“…Unfortunately, the complex permittivity of soil cannot be easily measured. Therefore, estimating the permittivity of soil has been the topic of numerous research in the literature, and various methods have been proposed to model the permittivity of the soil based on other, more easily measurable parameters (e.g., composition and water content) [16][17][18][19]. These models are often known as mixing models.…”

Section: Dielectric Properties Of Soilmentioning

confidence: 99%

“…where ω is the angular frequency (ω = 2π f ) and µ is the relative magnetic permeability; and where the real and imaginary parts of the complex permittivity are estimated using the Peplinski dielectric mixing formula [17,18].…”

Section: Propagation Modelsmentioning

confidence: 99%

A New Approach to Estimating the Path Loss in Underground Wireless Sensor Networks

Sadeghioon

Chapman

Metje

et al. 2017

JSAN

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Unlike terrestrial Wireless Sensor Networks (WSNs), communication between buried nodes in WUSNs happens through the ground. Due to the complexity of soil, accurate estimation of the underground signal attenuation is challenging. Existing path loss models mainly rely on semi-empirical and empirical mixing models for calculating the dielectric properties of the soil. In this paper, two existing models for estimating the path loss in soil (i.e., the CRIM-Fresnel and Modified-Friis models) are compared with measurements obtained at three locations. In addition, an improved method is proposed for estimating the path loss based on a new approach for calculating the dielectric properties of soil from Time Domain Reflectometry (TDR) measurements. The proposed approach calculates the complex permittivity values from TDR waveform based on a new modified method and subsequently use them as inputs into the Modified-Friis model. The results from the field trials were compared with the proposed method and the existing models. The results of this comparison showed that the proposed estimation technique provides a better estimation of Radio Frequency (RF) attenuation than the existing models. It also eliminates the need to take samples back to the laboratory by providing in situ calculation of attenuation based on TDR.

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“…Rough surface and soil inhomogeneity are simulated using fractals. Regarding the dielectric properties, a semi-empirical model suggested by [15] and used in [8] is employed. The GPR antenna is simulated as an idealised line source.…”

Section: Ann Training Setmentioning

confidence: 99%

Numerical modelling and neural networks for landmine detection using ground penetrating radar

Giannakis

Giannopoulos

Warren

et al. 2015

2015 8th International Workshop on Advanced Ground Penetrating Radar (IWAGPR)

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Abstract-A numerical modelling case study is presented aiming to investigate aspects of the applicability of artificial neural networks (ANN) to the problem of landmine detection using ground penetrating radar (GPR). An essential requirement of ANN and machine learning in general, is an extensive training set. A good training set should include data from as many scenarios as possible. Therefore, a training set consisting of simulated data from a diverse range of models with varying: topography, soil inhomogeneity, landmines, false alarm targets, height of the antenna, depth of the landmines, has been produced and used. Previous approaches, have employed limited training sets and as a result they often have underestimated the capabilities of ANN. In this preliminary study, a 2D Finite-Difference TimeDomain (FDTD) model has been used as the training platform for ANN. Although a 2D approach is clearly a simplification that cannot directly translate to a practical application, it is a computationally efficient approach to examine the performance of ANN subject to an extensive training set. The results are promising and provide a good basis to further expand this approach in the future by employing even more realistic, but computationally expensive, 3D models and well-characterised, real data sets.

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Dielectric properties of soils in the 0.3-1.3-GHz range

Cited by 576 publications

References 4 publications

Review and Assessment of Electromagnetic Wave Propagation in Sand and Dust Storms at Microwave and Millimeter Wave Bands --- Part I

Review and Assessment of Electromagnetic Wave Propagation in Sand and Dust Storms at Microwave and Millimeter Wave Bands --- Part I

A New Approach to Estimating the Path Loss in Underground Wireless Sensor Networks

Numerical modelling and neural networks for landmine detection using ground penetrating radar

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