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Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects

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Abstract In view of the significant impact of flight-induced jitter on the performance of unmanned aerial vehicle (UAV) communication systems, we propose a three-dimensional wideband non-stationary channel model. The model takes into account the line-of-sight (LoS) and non-line-of-sight (NLoS) components in the transmission link from the UAV transmitter to the UAV receiver. Both the transmitter and the receiver are equipped with uniform array antennas. In contrast to previous studies that focus solely on UAV pitch jitter models, the UAV's jitter attitude is simulated as random fluctuations in pitch, azimuth, and roll angles. The rotational jitter is modeled using a sinusoidal random process. Furthermore, derived the typical statistical characteristics of the proposed model, including spatial cross-correlation function(CCFs) and temporal autocorrelation function(ACFs). The numerical simulation results are then compared with those of existing relevant models, demonstrating the effectiveness of the proposed channel model.
Title: Three-Dimensional Wideband Non-Stationary Channel Modeling for Unmanned Aerial Vehicle Communication under Flight-Induced Jitter Effects
Description:
Abstract In view of the significant impact of flight-induced jitter on the performance of unmanned aerial vehicle (UAV) communication systems, we propose a three-dimensional wideband non-stationary channel model.
The model takes into account the line-of-sight (LoS) and non-line-of-sight (NLoS) components in the transmission link from the UAV transmitter to the UAV receiver.
Both the transmitter and the receiver are equipped with uniform array antennas.
In contrast to previous studies that focus solely on UAV pitch jitter models, the UAV's jitter attitude is simulated as random fluctuations in pitch, azimuth, and roll angles.
The rotational jitter is modeled using a sinusoidal random process.
Furthermore, derived the typical statistical characteristics of the proposed model, including spatial cross-correlation function(CCFs) and temporal autocorrelation function(ACFs).
The numerical simulation results are then compared with those of existing relevant models, demonstrating the effectiveness of the proposed channel model.

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