Measurement and analysis of complex low-altitude air-to-ground wireless channel
In order to improve the reliability and effectiveness of small and medium-sized unmanned aerial vehicle in complex,low-altitude and long-distance communication,the channel characteristics such as root mean square delay spread(RMS-DS)and Rice K factor in complex and low-altitude scenarios are measured and analyzed,and the corresponding probability density function model is established.A complex and low-altitude scene composed of mountains,buildings and many trees is selected,and real channel measurement activities at 2.4 GHz frequency are conducted.Through a large number of data acquisition and fitting analysis,we conclude that the channel's RMS-DS is normally distributed with the cumulative distribution function of Rice K factor.Based on the tapped delay line(TDL)model and the analysis of measured data,a model suitable for complex and low-altitude air-to-ground wireless channel is constructed,and the simulation result proves that the proposed model can achieve the target channel characteristics well.The results provide a strong support for improving the performance of small and medium-sized unmanned aerial vehicle in complex,low-altitude and long-distance communication.
channel measurementcomplex and low-altituderoot mean square delay spread(RMS-DS)Rice K factor
万方数据
维普
