The Modelling And Time-Variant Power Spectrum Analysis Based On 5G NR FR2 HST Channel

The essay is mainly about the exploration of and the research into the 5G NR FR2 HST channel model.In the first half of the essay,the existing research results of the modelling and simulation of the HST channel are introduced firstly.They are the research results of applying the researching methods of the V2X channel model to the research into the HST channel.Secondly,the relevant background knowledges of the essay,including the V2X channel model and the Wigner-Ville power spectrum,are introduced.Lastly,the major models of the modelling of the scenarios of the HST channel are introduced.In the second half of the essay,the scenarios of the HST channel are modelled firstly.Secondly,the HST channel is modelled thanks to the application of the researching methods of non-stationary stochastic processes to the research into non-stationary stochastic channels,and some formulas involved in the processes of the modelling and simulation,including the propagation path loss,the root-mean-square time-delay spread,the impulse response function and the autocorrelation function of the model,are derived according to the references.The propagation path loss,the root-mean-square time-delay spread and the impulse response function in different channel scenarios and the autocorrelation function of the LOS path and the NLOS path of the channel are relatively studied,and the comparison of the simulation graphs is made.Thirdly,the time-variant power spectrum analysis of the channel is carried out through using the Wigner-Ville spectrum.Finally,the simulation graphics are drawn,the simulation results are analysed,and the conclusion is reached.For the LOS path,the bandwidth of the Wigner-Ville spectrum density graph is relevant to the angle between the position from the center of gravity of the antennas on the user equipment panel to the center of gravity of the antennas on the radio frequency remote head and the driving position of the high-speed train.The smaller the angle is,the larger the bandwidth is.For the NLOS path,the bandwidth of the Wigner-Ville spectrum density graph is relevant to the value of k of the scatterers that obey Von-Mises distribution.The smaller the value of k is,the higher the weight of low frenquency is.