A physical–statistical hybrid model for Land Mobile Satellite propagation channel at Ku/Ka band

Abstract

This paper presents an optimized Land Mobile Satellite (LMS) propagation channel model for Ku/Ka band. Here, a physical-statistical hybrid approach is proposed in order to simplify as much as possible the synthetic environment and the electromagnetic model, while keeping a good representation of the satellite propagation channel. This approach is complementary of full statistical approach [1] as a specific environment can now be tackled instead of a mixture of different propagation conditions. An original validation of the model is presented here, with an innovative method based on 360° panoramic images analysis in order to rebuild a simple synthetic environment.

Validation of ITU-R P.833-9 tree attenuation model for Land Mobile Satellite propagation channel at Ku/Ka band

“…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]. Thus, tree attenuation statistical comparison between ITU-R P.833-9 model and experimental data will be tackled in section IV.…”

“…Based on this regression technic, it was possible to extract the distribution of R, and we introduce this distribution in the random 3D scenario in the Ku/Ka simulator which includes Rec. ITU-R P.833-9 [12]. Tree positions were assumed along a straight road with a range of several kms.…”