Investigations on the prediction of radiowave propagation in urban microcell environments using ray-tracing methods

Brown, P. G.; Constantinou, Costas

doi:10.1049/ip-map:19960096

Cited by 13 publications

(6 citation statements)

References 5 publications

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“…This allows for a validation of the theoretical method, without the influence of external parameters that are unavoidable in the case of open field measurements. To the best of the authors' knowledge there is only another study, reported in [16], that describes measurements on a scaled model. A time-domain analysis is conducted in [17], and a com-parison of the two-dimensional simulator with empirical models is shown in [18].…”

Section: Discussionmentioning

confidence: 99%

Measurements on scaled models of urban environments and comparisons with ray-tracing propagation simulation

Erricolo

D’Elia

Uslenghi

2002

IEEE Trans. Antennas Propagat.

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Scaled models of simple two-dimensional urban environments are considered in order to investigate propagation along a vertical plane. Specifically, path loss measurements are taken for different positions of the transmitting and receiving antennas at 25 GHz. Then, measurement results are compared with theoretical predictions computed by a ray-tracing polygonal line simulator. The measurements indicate a very good agreement between the ray-tracing model and the experiments.

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Section: Discussionmentioning

confidence: 99%

Measurements on scaled models of urban environments and comparisons with ray-tracing propagation simulation

Erricolo

D’Elia

Uslenghi

2002

IEEE Trans. Antennas Propagat.

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“…The knowledge of the impulse response allows the dominant path to he identified and K factor to be computed easily following (I). However, there are situations where a group of rays seem to be strongly correlated, having a deterministic rather than random behavior [7]. In those cases, all the correlated rays contribute to the numerator of expression (I), making up the deterministic vector of the Rician distribution.…”

Section: Estimation Of Small Scale Fading Statistics Using Ray-tracinmentioning

confidence: 99%

An accurate and efficient method to estimate the local fading statistics from ray-tracing

Torres

Loredo²,

Domingo³

et al. 1999

Gateway to 21st Century Communications Village. VTC 1999-Fall. IEEE VTS 50th Vehicular Technology Conference (Cat. No.99CH36324

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The knowledge of the mean level of the received signal in a multipath environment and its variations about the mean is fundamental when designing a wireless communications system. In this paper, a comparison between measurements and simulations carried out by the authors is presented in order to show that ray-tracing techniques make it possible to estimate with sufficient accuracy not only the signal mean level but also its variations about the mean. Furthermore, a new method, based on ray-tracing, is proposed to estimate the signal statistics in a local area starting from the signal information at one single point.

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“…Some methods and models are proposed for calculation of indoor and outdoor wave propagation, that is, methods based on the numerical solution of Maxwell's equations such as finite-difference time-domain method (FDTD) [1] and parabolic equation method (PE) [2][3][4][5][6], methods based on geometrical optics principle such as ray-tracing (RT) [7][8][9][10] method, and so forth.…”

Section: Introductionmentioning

confidence: 99%

Electromagnetic Computation and Visualization of Transmission Particle Model and Its Simulation Based on GPU

Zhang

2014

Mathematical Problems in Engineering

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Electromagnetic calculation plays an important role in both military and civic fields. Some methods and models proposed for calculation of electromagnetic wave propagation in a large range bring heavy burden in CPU computation and also require huge amount of memory. Using the GPU to accelerate computation and visualization can reduce the computational burden on the CPU. Based on forward ray-tracing method, a transmission particle model (TPM) for calculating electromagnetic field is presented to combine the particle method. The movement of a particle obeys the principle of the propagation of electromagnetic wave, and then the particle distribution density in space reflects the electromagnetic distribution status. The algorithm with particle transmission, movement, reflection, and diffraction is described in detail. Since the particles in TPM are completely independent, it is very suitable for the parallel computing based on GPU. Deduction verification of TPM with the electric dipole antenna as the transmission source is conducted to prove that the particle movement itself represents the variation of electromagnetic field intensity caused by diffusion. Finally, the simulation comparisons are made against the forward and backward ray-tracing methods. The simulation results verified the effectiveness of the proposed method.

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Investigations on the prediction of radiowave propagation in urban microcell environments using ray-tracing methods

Cited by 13 publications

References 5 publications

Measurements on scaled models of urban environments and comparisons with ray-tracing propagation simulation

Measurements on scaled models of urban environments and comparisons with ray-tracing propagation simulation

An accurate and efficient method to estimate the local fading statistics from ray-tracing

Electromagnetic Computation and Visualization of Transmission Particle Model and Its Simulation Based on GPU

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