MMW scattering by rough lossy dielectric cylinders and tree trunks

El-Rouby, Alaa E.; Ulaby, F. T.; Nashashibi, A.

doi:10.1109/tgrs.2002.1006366

Cited by 12 publications

(4 citation statements)

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“…Although the tree trunks will not reflect as strongly as lamp posts, they are potentially important to predict the channel characteristics accurately [6]. In the literature tree trunks are mostly modeled by rough, lossy, dielectric cylinders in the mm-wave band [7–9].…”

Section: Simulation Engine and 3d Modelmentioning

confidence: 99%

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The influence of street furniture, tree trunks, and traffic in urban scenarios on ray tracing simulations in the millimeter wave band

Göktepe

Peter

Weiler

et al. 2016

Int. J. Microw. Wireless Technol.

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In this paper, the influence of tree trunks, cylindrical street furniture such as lamp posts, and traffic on ray tracing simulations in an urban scenario is analyzed. Tree trunks and lamp posts are modeled by cylinders and propagation characteristics computed according to the Uniform Theory of Diffraction. The influence of traffic is analyzed by simulations with moving vehicles. In order to get an understanding of the spatial characteristics of the channel, simulations with static and also mobile receivers have been performed, in line with a measurement campaign in the same environment. The simulation results show a good agreement with the measurements

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Section: Simulation Engine and 3d Modelmentioning

confidence: 99%

“…The considered roughness in these models results from the rough and lossy bark layer [9]. However, the trees on the Potsdamer Straße are quite young, so they have a very thin and smooth bark layer.…”

Section: Simulation Engine and 3d Modelmentioning

confidence: 99%

The influence of street furniture, tree trunks, and traffic in urban scenarios on ray tracing simulations in the millimeter wave band

Göktepe

Peter

Weiler

et al. 2016

Int. J. Microw. Wireless Technol.

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“…In the reflection mode, the transmitter and receiver are within the same box [15]. Other studies have also used radar waves to study the dielectric properties of trees [16][17][18][19]. Fu et al reported a ray-based tomography method using GPR to reconstruct the internal structure of the trunk cross-section of a living oak tree.…”

Section: Introductionmentioning

confidence: 99%

Detecting and Measuring Internal Anomalies in Tree Trunks Using Radar Data for Layer Identification

et al. 2018

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Radar detection has proven to be an effective, nondestructive test for the determination of the quality of wood-based materials, especially in the wooden structures of ancient buildings and trees. However, the results are usually inaccurate, and it is difficult to interpret internal anomalies due to the moisture content of wood, individual differences, and other factors. In this paper, a new measurement method is proposed based on the use of ground-penetrating radar (GPR) for abnormality localization and imaging. Firstly, the time delay of the reflected signal in the inner trees is analyzed with matched filter and Hilbert detections. Secondly, the two approaches are compared with the use of a forward model, and the Hilbert algorithm is found to be more accurate. Thirdly, a laser scanner is used to collect contour data and determine the location and characteristics of internal tree anomalies. Lastly, the proposed method is tested on ancient willows at the Summer Palace. The results show that the error in the depth and area estimates of the anomalies was within 10% and 5%, respectively. Consequently, the GPR method for locating the anomalies in trees is feasible, and a laser scanner combined with contour data can present the size of the abnormal regions within the trees.

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“…After the practical realization of these media, reported by Smith et al [2] and in subsequent works [3][4][5], considerable attention has been paid to those topics [6 -10]. In addition to Veselago's predictions [1], it has been predicted [6] that a LHM slab having ϭ Ϫ 0 and ϭ Ϫ 0 (where 0 and 0 are the dielectric permittivity and magnetic permeability of a vacuum, respectively) should produce subwavelength perfect focusing of electromagnetic sources.…”

Section: Introductionmentioning

confidence: 99%