非静止的性质基于 Markov 链被提供在旱桥情形下面描绘高速度的铁路(高速阅读器) 的无线繁殖机制。为方法建模的这 Markov 揭示相应于可溶解的 multipath 部件的坚持过程的时间的统计行为。用在 2.35 点的 BeijingTianjin 高速阅读器上的隧道测量数据 ? GHz,不变的概率矩阵和 Markov 链的转变概率矩阵被指定。非静止的隧道参数为连接级的模拟是增进知识的并且能为非静止的高速阅读器隧道被用于原型确认。另外,我们建议并且调查中等规模的褪色熵和一生的概念,哪个份量上分别地描述无常和稳定性的度。而且,我们的提供的模型与借助于 KullbackLeibler (KL ) 距离的试验性的结果相比。它证明模仿的结果匹配测量数据很好。
Non-stationary properties based on Markov chains are provided to characterize the wireless propagation mechanism of high-speed railway (HSR) under viaduct sce- narios. This Markov modeling method reveals the temporal statistical behaviors of the persistence process corresponding to resolvable multipath components. Using the channel mea- surement data on Beijing-Tianjin HSR at 2.35 GHz, the steady-state probability matrices and the transition probability matrices of Markov chains are specified. The non-stationary channel parameters are informative for the link-level simu- lation and can be used for prototype verification for non-sta- tionary HSR channels. In addition, we propose and investigate the concepts of the medium-scale fading entropy and lifetime, which quantitatively describe the degrees of uncertainty and stability, respectively. Furthermore, our provided models are compared with the experimental results by means of the Ku- llback-Leibler (KL) distance. It shows that the simulated results match the measured data very well.