Research On Wireless Statistical Channel Model Based On Indoor Environment

With the development of modern society, people are more and more important to the quality of mobile communication, mobile communication plays a more and more important role in our daily life. At the same time, the communication environment of the mobile communication system is becoming more and more complex. In order to pursue the two basic standards of wireless communication system, such as signal transmission rate and transmission quality, the research on wireless communication channel modeling is becoming more and more popular.Based on the introduction of the development of mobile communication and the significance of the research, this paper focuses on several deterministic models of large-scale fading and small-scale fading. At the same time, this paper introduces the concept of wireless statistical channel model, and introduces several classical single loop model,single line model,geometric single shot circle model and geometric single reflection ellipse model. Combined with the more complex communication environment in the present era, the two-dimensional spatial domain model based on the inhomogeneous distribution of the scatterers and the non uniform spatial model in the two-dimensional space domain with the directional smart antenna are introduced.For indoor environment more complex spatial structure, relying on multipath channel,in the process of signal transmission of distractors transmission environment(scatterer) no rule of distribution, this paper puts forward the indoor environment based on non-uniform scatterer exponential distribution and the statistics of the channel model of asymmetric space. For the model to estimate the asymmetric indoor environment important space-time channel parameters of multipath fading channel. The probability density function of the signal arrival angle (AOA).and TOA/AOA joint probability density function are derived. The results of numerical simulation show that the model of channel parameter estimation results conform to the theory and experience. Spatial channel model with the proposed extension of the model in the study, multiple input multiple output (MIMO) antenna systems more space-time processing algorithm and the simulation of wireless communication system provides a numerical reference.