Direction-of-arrival statistics of urban propagation channel at 1.9 GHz based on measurement and ray tracing

2002 ◽  
Vol 34 (1) ◽  
pp. 31-35 ◽  
Author(s):  
Tao Su ◽  
Hao Ling ◽  
Heinrich Foltz
Keyword(s):  
Ray Tracing ◽  
Direction Of Arrival ◽  
Propagation Channel ◽  
Urban Propagation

scholarly journals Directional propagation channel estimation and analysis in urban environment with panoramic photography

2012 ◽  
Vol 4 (1) ◽  
pp. 3-13 ◽  
Author(s):  
Jean-Marc Conrat ◽  
Patrice Pajusco
Keyword(s):  
Channel Estimation ◽  
Urban Environment ◽  
Noise Level ◽  
Three Dimensional ◽  
Direction Of Arrival ◽  
Channel Modeling ◽  
Propagation Channel ◽  
Physical Understanding ◽  
Electro Magnetic ◽  
Magnetic Waves

This article aims to provide readers with a physical understanding of the propagation channel that is complementary to mathematical channel modeling. It presents an analysis of the directional propagation channel based on radiophotos. Radiophotos are graphical objects where directions of arrival are superimposed on three-dimensional (3D) panoramic photographs. The interaction between electro magnetic waves and the environment is immediately identified with these representations. This paper focuses on the direction of arrival at mobile in an urban macrocell environment. The first radiophoto collection illustrates the major propagation phenomena such as reflection, diffraction, or street canyoning. The second collection illustrates typical propagation channel profiles that are classified according to delay, azimuth, and elevation spread values. The paper also describes an original panorama-based method for estimating noise level in the azimuth–elevation domain.

scholarly journals Study of Propagation Mechanisms in Dynamical Railway Environment to Reduce Computation Time of 3D Ray Tracing Simulator

2013 ◽  
Vol 2013 ◽  
pp. 1-11
Author(s):  
Siham Hairoud ◽  
Pierre Combeau ◽  
Yannis Pousset ◽  
Yann Cocheril ◽  
Marion Berbineau ◽  
...  
Keyword(s):  
Ray Tracing ◽  
Computation Time ◽  
Optimization Method ◽  
Propagation Channel ◽  
Railway Tunnel ◽  
Simulation Accuracy ◽  
3D Ray Tracing ◽  
The One ◽  
Confined Environment ◽  
The Impact

In order to better assess the behaviours of the propagation channel in a confined environment such as a railway tunnel for subway application, we present an optimization method for a deterministic channel simulator based on 3D ray tracing associated to the geometrical optics laws and the uniform theory of diffraction. This tool requires a detailed description of the environment. Thus, the complexity of this model is directly bound to the complexity of the environment and specifically to the number of facets that compose it. In this paper, we propose an algorithm to identify facets that have no significant impact on the wave propagation. This allows us to simplify the description of the geometry of the modelled environment by removing them and by this way, to reduce the complexity of our model and therefore its computation time. A comparative study between full and simplified environment is led and shows the impact of this proposed method on the characteristic parameters of the propagation channel. Thus computation time obtained from the simplified environment is 6 times lower than the one of the full model without significant degradation of simulation accuracy.

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