Analysis of wave propagation in inhomogeneous media using FDTD method and its applications

Tanyer, Suleyman Gokhun; Karaman, Mustafa; Öztürk, İlhan

doi:10.1109/mmet.1998.709840

Cited by 4 publications

(2 citation statements)

References 2 publications

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“…Recent work has also been done on an FDTD scheme [20] that models the soil around the target as a random medium, but restricted to discrete scatterers (random placement). A 2-D FDTD study of point scatterers in inhomogeneous (Gaussian) media has also been recently published [21]. In this work, our focus will be on the 3-D FDTD simulation of scattering from objects buried in continuous random media with spatially fluctuating permittivity.…”

Section: Introductionmentioning

confidence: 99%

Finite-difference time-domain simulation of scattering from objects in continuous random media

Moss

Teixeira

Yang

et al. 2002

IEEE Trans. Geosci. Remote Sensing

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Abstract-A three-dimensional (3-D) finite-difference time-domain (FDTD) scheme is introduced to model the scattering from objects in continuous random media. FDTD techniques have been previously applied to scattering from random rough surfaces and randomly placed objects in a homogeneous background, but little has been done to simulate continuous random media with embedded objects where volumetric scattering effects are important. In this work, Monte Carlo analysis is used in conjunction with FDTD to study the scattering from perfectly electrically conducting (PEC) objects embedded in continuous random media. The random medium models under consideration are chosen to be inhomogeneous soils with a spatially fluctuating random permittivities and prescribed correlation functions. The ability of frequency averaging techniques to discriminate objects in this scenarion is also briefly investigated. The simulation scheme described in this work can be adapted and used to help in interpreting the scattered field data from targets in random environments such as geophysical media, biological media, or atmospheric turbulence.Index Terms-Buried random objects, FDTD methods, Monte Carlo methods, random media.

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Section: Introductionmentioning

confidence: 99%

Finite-difference time-domain simulation of scattering from objects in continuous random media

Moss

Teixeira

Yang

et al. 2002

IEEE Trans. Geosci. Remote Sensing

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“…There are many scientific papers devoted to the application of the FDTD method for solving electrodynamic problems in randomly inhomogeneous media [9]- [21]. Nevertheless, this area not only has not exhausted itself, but on the contraryit continues to remain very attractive, as it can potentially stimulate the study of many interesting effects.…”

Section: Introductionmentioning

confidence: 99%

Simulation of Electromagnetic Wave Propagation in Magnetic Randomly Inhomogeneous Magnetic Media

Makarov¹,

Ustyugov²,

Котов³

et al. 2022

IEEE Magn. Lett.

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An algorithm for the numerical simulation of the propagation of electromagnetic waves in randomly inhomogeneous magnetic media by the FDTD method has been developed. The formulated algorithm is suitable for analyzing the main timing characteristics, as well as identifying the features of the propagation of various types of signals in both time-independent and time-dependent layered randomly inhomogeneous media. The simulation of the propagation of the sine pulse, sine signal and square wave in time-independent magnetic randomly inhomogeneous media with a various levels of phase contrast of two types -with a "diffuse" distribution of inhomogeneities and their "close packing" is carried out. The influence of the concentration of magnetic granules and the type of their distribution on the characteristics of the transmitted and reflected signals is revealed.

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Fast-forward solver for inhomogeneous media using machine learning methods: artificial neural network, support vector machine and fuzzy logic

Abdolrazzaghi

Hashemy

Abdolali

2016

Neural Comput & Applic

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Analysis of wave propagation in inhomogeneous media using FDTD method and its applications

Cited by 4 publications

References 2 publications

Finite-difference time-domain simulation of scattering from objects in continuous random media

Finite-difference time-domain simulation of scattering from objects in continuous random media

Simulation of Electromagnetic Wave Propagation in Magnetic Randomly Inhomogeneous Magnetic Media

Fast-forward solver for inhomogeneous media using machine learning methods: artificial neural network, support vector machine and fuzzy logic

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