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Spatial-temporal Correlations of U2V Channel Considering Fuselage Posture and Antenna Pattern

Considering the fuselage posture and antenna pat-tern of unmanned aerial vehicle (UAV), a three-dimensional (3D) multiple-input multiple-output (MIMO) geometry-based stochastic model (GBSM) is proposed and the spatial-temporal correlations of UAV-to-vehicle (U2V) channel are studied. Based on the fuselage posture matrix and antenna pattern matrix, the temporal autocorrelation function (ACF) and spatial cross-correlation function (CCF) are deduced and investigated in detail. The simulation results show that variation of fuselage posture and antenna pattern has significant impacts on spatial-temporal correlations. In addition, the consistency of theoretical and simulation results verified the correctness of the proposed model and derivation.