Measurement-based ray-tracing models calibration in urban environments

Author(s):  
Andres Navarro ◽  
Dinael Guevara ◽  
Narcis Cardona ◽  
Jaime Lopez
2008 ◽  
Vol E91-B (12) ◽  
pp. 4067-4070 ◽  
Author(s):  
J.-W. LIM ◽  
I.-S. KOH ◽  
Y.-H. PARK ◽  
H.-W. MOON ◽  
H.-S. JO ◽  
...  

2015 ◽  
Vol 2015 ◽  
pp. 1-11 ◽  
Author(s):  
E. M. Vitucci ◽  
V. Degli-Esposti ◽  
F. Fuschini ◽  
J. S. Lu ◽  
M. Barbiroli ◽  
...  

The prediction of RF coverage in urban environments is now commonly considered a solved problem with tens of models proposed in the literature showing good performance against measurements. Among these, ray tracing is regarded as one of the most accurate ones available. In the present work, however, we show that a great deal of work is still needed to make ray tracing really unleash its potential in practical use. A very extensive validation of a state-of-the-art 3D ray tracing model is carried out through comparison with measurements in one of the most challenging environments: the city of San Francisco. Although the comparison is based on RF cellular coverage at 850 and 1900 MHz, a widely studied territory, very relevant sources of error and inaccuracy are identified in several cases along with possible solutions.


2017 ◽  
Vol 16 ◽  
pp. 3063-3066 ◽  
Author(s):  
Daisy Green ◽  
Zhengqing Yun ◽  
Magdy F. Iskander

2011 ◽  
Vol 20 ◽  
pp. 43-53 ◽  
Author(s):  
Pierpaolo Usai ◽  
Alessandro Corucci ◽  
Simone Genovesi ◽  
Agostino Monorchio

2020 ◽  
Vol 73 (6) ◽  
pp. 1202-1222 ◽  
Author(s):  
Hoi-Fung Ng ◽  
Guohao Zhang ◽  
Li-Ta Hsu

Global navigation satellite system (GNSS) positioning in dense urban areas remains a challenge due to the signal reflection by buildings, namely multipath and non-line-of-sight (NLOS) reception. These effects degrade the performance of low-cost GNSS receivers such as in those smartphones. An effective three-dimensional (3D) mapping aided GNSS positioning method is proposed to correct the NLOS error. Instead of applying ray-tracing simulation, the signal reflection points are detected based on a skyplot with the surrounding building boundaries. The measurements of the direct and reflected signals can thus be simulated and further used to determine the user's position based on the measurement likelihood between real measurements. Verified with real experiments, the proposed algorithm is able to reduce the computational load greatly while maintaining a positioning accuracy within 10 metres of error in dense urban environments, compared with the conventional method of ray-tracing based NLOS corrected positioning.


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