Notes on semiempirical terrestrial wave propagation modeling for macrocellular environments - Comparisons with measurements

Eibert, Thomas F.; Kuhlmann, P.

doi:10.1109/tap.2003.816378

Cited by 10 publications

(5 citation statements)

References 12 publications

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“…Eibert and P. Kuhlman [6]. This model obtains the propagation losses as the sum of four components: L=L 0 +A dif +A lu +A or (1) where L 0 are the propagation losses in free space, A dif are the diffraction losses, A lu are the losses due to land usage along profile and A or are the street orientation losses.…”

Section: Propagation Modelmentioning

confidence: 99%

See 1 more Smart Citation

Covermap: Computer tool to calculate the propagation in open areas importing data from GoogleMaps

Adana

Fernández

Loranca

et al. 2009

2009 Loughborough Antennas &Amp; Propagation Conference

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This paper presents a computer code to obtain the propagation in open areas. The code implements an empirical formulation to perform the calculation. The main advantage of the code is that the data of the environment are taken from GoogleMaps allowing the calculation at any part of the world with an easy accessibility to the necessary data. Moreover, the code is applicable to both rural and urban areas. Some measurements have been performed in the Cologne (Germany) area to validate the code.

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Section: Propagation Modelmentioning

confidence: 99%

“…A 1u is obtained as a polynomial approximation given in [6], which takes into account the Fresnel zone clearance analyses for three different scenarios.…”

Section: Propagation Modelmentioning

confidence: 99%

Covermap: Computer tool to calculate the propagation in open areas importing data from GoogleMaps

Adana

Fernández

Loranca

et al. 2009

2009 Loughborough Antennas &Amp; Propagation Conference

View full text Add to dashboard Cite

show abstract

“…The empirical models are mostly based on propa gation measurements, where the propagation curves by Okumura et al [6] as a basis for the Hata formulas [7], and by the International Telecommunications Union (ITU) [8] (recently upgraded to and replaced by [9]), are probably the most popular models. Many empirical models have also been upgraded by deterministic elements, such as additional path loss due to diffraction at mountains [10]. More information on wavepropagation modeling in general can be found in [11][12][13].…”

Section: Introductionmentioning

confidence: 99%

Incoherent scattering-center representations and parameterizations for automobiles [EM Programmer's Notebook]

Buddendick

Eibert

2012

IEEE Antennas Propag. Mag.

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Modeling of wave propagation remains a challenging topic. This issue's column focuses in particular on methods of modeling propagation for two automotive applications, where the presence of the moving vehicles adds complexity to the propagation problem. The use of incoherent scattering-center representations for extending the use of ray tracing -which is usually limited to the far fi eld of radiating objects -is dis cussed in some detail. Results for two practical applications are provided. AbstractThe requirements for mobile wave-propagation modeling become more and more demanding. This is especially true for automotive radar and for car-to-car or car-to-infrastructure communications, in which none of the antennas has an elevated position, and the consideration of near-fi eld effects becomes mandatory for good wave-propagation modeling results. Due to the complexity of mobile propagation scenarios, ray-tracing simulators appear to be the method of choice. However, since ray concepts are based on far-fi eld assumptions in many respects, their applicability must be extended in order to be accurate enough for the described mobile scenarios. One way of extending the applicability of ray methods is the use of bistatic scattering-center representations of complex scattering objects such as cars, where incoherent scattering centers are utilized in this work. The parameterization of the scattering centers by ray-tracing simulations, based on a very detailed facetted model of the scattering object and the utilization of the scattering-center representation within wave propagation system simulations of mobile scenarios, is discussed. Example results for the bistatic radar cross sections of several characteristic scattering centers of a sports utility vehicle are shown and discussed. Results of a mobile communication system simulation, employing scattering-center representations, are also shown.

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“…Empirical models are usually a set of equations derived from extensive field measurements [5,8,13,23,[31][32][33][34][35][36][37][38]. Empirical models are simple, efficient and accurate for environments with the same characteristics as those where the measurements were made.…”

Section: Empirical Modelsmentioning

confidence: 99%

“…Since the site measurements are costly, propagation models have been developed as a suitable, low-cost, and convenient alternative [6][7][8][9][10][11][12][13][14][15][16][17][18][19][20][21][22][23].…”

mentioning

confidence: 99%

Propagation channel models for wireless communication systems

Jiang¹

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With the development of wireless communication systems, the design, optimization and evaluation of the system become more and more important. Channel modeling provides a deep insight into the characteristics of the mobile propagation channels, which can be of great help to the system design, optimization and evaluation. This thesis mainly focuses on deriving propagation channel models for wireless communication systems. An uniform theory of diffraction (UTD) based path loss model is proposed for the urban cellular propagation environment. This model takes into account the geometrical shape of the buildings. Rectangular shaped blocks are used to model the rows of buildings, and equal building heights are assumed. The dominant propagation mechanism is multiple diffraction over rooftops. To simplify the derivation, the incident field is assumed to be a vertically polarized plane wave. Closed form expressions are derived to calculate the total received field. When applying average values to the building width and center-to-center spacing of two neighboring buildings, a more explicit path loss model is thus obtained. Good agreement between our theoretical results and measurements shows that our UTD channel model is accurate and outperforms the existing UTD-based over rooftop ii

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Notes on semiempirical terrestrial wave propagation modeling for macrocellular environments - Comparisons with measurements

Cited by 10 publications

References 12 publications

Covermap: Computer tool to calculate the propagation in open areas importing data from GoogleMaps

Covermap: Computer tool to calculate the propagation in open areas importing data from GoogleMaps

Incoherent scattering-center representations and parameterizations for automobiles [EM Programmer's Notebook]

Propagation channel models for wireless communication systems

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