12th European Conference on Antennas and Propagation (EuCAP 2018) 2018
DOI: 10.1049/cp.2018.1159
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Concurent Ka band RF measurement and Fish-eye Images for Land Mobile Satellite Propagation Channel

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Cited by 3 publications
(11 citation statements)
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“…It was possible to test the model on selected trajectories of [2], but for some trajectories of [2], the final results are not as good as expected. For example, Figure 12 presents another example of experimental and simulated time series.…”
Section: Figure 11: Experimental Vs Simulated Time Series In Pole Sitmentioning
confidence: 92%
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“…It was possible to test the model on selected trajectories of [2], but for some trajectories of [2], the final results are not as good as expected. For example, Figure 12 presents another example of experimental and simulated time series.…”
Section: Figure 11: Experimental Vs Simulated Time Series In Pole Sitmentioning
confidence: 92%
“…Thus, the model cannot be validated with this dataset. From the 20 GHz campaign highlighted in [2], concurrent RF and 360° panoramic images data were collected. Thus, the images information can be used in order to help in the 3D reconstruction.…”
Section: Multipath Modelingmentioning
confidence: 99%
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“…Figure 6: CNES measurement, signal attenuation behind the treesStill from CNES measurement campaign at 20GHz[10] [11], large wooded road were extracted. Indeed, the trajectory tagged as "Sub Urban" contains large portions of roads surrounded by trees (2 x 60 km[10]).…”
mentioning
confidence: 99%
“…Figure 6: CNES measurement, signal attenuation behind the treesStill from CNES measurement campaign at 20GHz[10] [11], large wooded road were extracted. Indeed, the trajectory tagged as "Sub Urban" contains large portions of roads surrounded by trees (2 x 60 km[10]). From these trajectories, it was possible to extract only the tree attenuation statistics as we use 360° images processed by a deep learning algorithms in order to automatically detect when the signal is obstructed by trees[12].…”
mentioning
confidence: 99%