Statistical Characteristic Analysis of Nonstationary Double Cylinder Channels in Unmanned Aerial Vehicle Communication Scenes
To achieve wireless communication coverage in areas with scatters at high altitude,such as cities,mountains,forests,and so on,and help to achieve rescue and post-disaster rescue and recovery of public infrastructure,a multi-input and multi-output three-dimensional geometric double cylinder random model of unmanned aerial vehicle was pro-posed based on non-stationary characteristics of unmanned aerial vehicle in space and time domains.Considering the complex situation of the ground station,a concentric cylinder was used to simulate the distribution of the scattering body,and the received signal was further divided into the line of sight component,the single rebound component at the unmanned aircraft end,and the sum of the single rebound ray and the double rebound component at the ground station.The time-varying angle and velocity were introduced to simulate non-stationarity of the unmanned aerial vehicle to ground channel,so that the proposed model was applicable to various unmanned aerial vehicle communication scenes.The proposed model was used to compare effects of unmanned aerial vehicle flight direction and antenna array direction on channel statistical characteristics.Important statistical characteristics of the proposed model,such as spatial cross-corre-lation function and temporal autocorrelation function,were derived and simulated.The results show that the parameters such as antenna direction and flight direction of unmanned aerial vehicle have important impacts on statistical characteris-tics and non-stationary characteristics of channels,and the proposed model has guiding significance for the design of multi-input and multi-output communication system of unmanned aerial vehicle.Compared with other models,the proposed model is proved to be practical by the fitting degree between simulation values and actual measured values of the temporal autocorrelation function.
mobile communicationunmanned aerial vehicle communicationdouble cylinder random modelstatistical characteristics of channel
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