2002
DOI: 10.1109/36.981359
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Finite-difference time-domain simulation of scattering from objects in continuous random media

Abstract: 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… Show more

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Cited by 67 publications
(44 citation statements)
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“…In this context, we quantify statistical stability by the average deviation in the detected trace from the actual one; that is, the less the deviation, the more stable the tracking is. In this case, the background is assumed as a realization of a continuous random medium with permittivity fluctuations following a clipped Gaussian distribution with mean permittivity rm = 2, standard deviation σ = 0.3 rm and correlation length l c = 10∆ s , ∆ s = 2.5 cm [51,52]. A different realization having the same statistical properties is used for backprojection.…”
Section: Statistical Stabilitymentioning
confidence: 99%
“…In this context, we quantify statistical stability by the average deviation in the detected trace from the actual one; that is, the less the deviation, the more stable the tracking is. In this case, the background is assumed as a realization of a continuous random medium with permittivity fluctuations following a clipped Gaussian distribution with mean permittivity rm = 2, standard deviation σ = 0.3 rm and correlation length l c = 10∆ s , ∆ s = 2.5 cm [51,52]. A different realization having the same statistical properties is used for backprojection.…”
Section: Statistical Stabilitymentioning
confidence: 99%
“…We evaluate the accuracy and the resolution of our method in a random medium [28] to increase the complexity of the propagating medium. The random medium is of Gaussian distribution and the spatial random relative permittivity is defined as…”
Section: Canonical Testmentioning
confidence: 99%
“…Gaussian function is chosen for its generalization and mathematical properties [28]. The random media is characterized by l s and η.…”
Section: Canonical Testmentioning
confidence: 99%
“…The random medium is characterized by correlation length (l s ) and variance (δ), and is generated using the procedure discussed in [33]. At each point in space, the fluctuating permittivity is a Gaussian random variable with zero mean and probability density function given by…”
Section: Moving Point Source In Random Mediummentioning
confidence: 99%