在高移动性信道的信道建模过程中,如高速列车(HST)通道,假定移动无线电台的速度是恒定的。然而,由于列车沿轨道的动态运动,这可能是不现实的。因此,在本文中,提出了一种基于3D非平稳几何随机模型(GBSM)的增强型高斯-马尔可夫移动模型,用于MIMO无线信道中的HST。假定簇内的非各向同性散射体围绕移动中继站(MRS)所在的球体。多路径分量(MPC)用不同的速度建模,而移动性模型是时间的函数。使用马尔可夫过程将MPC表示为死亡-出生集群。此外,频道统计,即,时空相关函数,均方根多普勒频移,和准平稳区间,是从非平稳模型中得出的。该模型显示了准平稳时间如何从0.21s增加到0.451s,而HST的加速度减小为0.6到0.2m/s2。此外,介绍了角度分布对信道统计的影响。最后,将模拟结果与实测结果进行比较。因此,提出的模型与实测结果之间存在密切的关系,并且该模型可用于表征通道的属性。
During channel modeling for high-mobility channels, such as high-speed train (HST) channels, the velocity of the mobile radio station is assumed to be constant. However, this might not be realistic due to the dynamic movement of the train along the track. Therefore, in this paper, an enhanced Gauss-Markov mobility model with a 3D non-stationary geometry based stochastic model (GBSM) for HST in MIMO Wireless Channels is proposed. The non-isotropic scatterers within a cluster are assumed to be around the sphere in which the mobile relay station (MRS) is located. The multi-path components (MPCs) are modeled with varying velocities, whereas the mobility model is a function of time. The MPCs are represented in a death-birth cluster using the Markov process. Furthermore, the channel statistics, i.e., the space-time correlation function, the root-mean-square Doppler shift, and the quasi-stationary interval, are derived from the non-stationary model. The model shows how the quasi-stationary time increases from 0.21 to 0.451 s with a decreasing acceleration of 0.6 to 0.2 m/s2 of the HST. In addition, the impact of the distribution of the angles on the channel statistics is presented. Finally, the simulated results are compared with the measured results. Therefore, there is a close relationship between the proposed model and the measured results, and the model can be used to characterize the channel\'s properties.