| The rapid development of wireless communication technology is inseparable from the in-depth study of wireless fading channel.In the process of studying the channel,which limited by the complex and changeable actual environment as well as difficult to experiment one by one according to different situations,therefore,the performance of wireless fading channel modeling method,and the extraction and analysis of fading parameters in the model are of great value for the research of wireless fading channel and the research and test of wireless communication equipment.The main research contents of this paper are as follows:Firstly,studied the classical theory of wireless fading channel,it includes mainly large scale and small scale fading in the propagation of signals in the wireless communication environment,some of the key influence factors in the fading of both categories,the physical and mathematical significance of the key parameters of two kinds of fading,and the modeling methods and formulae of classical wideband,narrowband and fading channel models.Secondly,researched some extraction methods and simulation realization of amplitude envelope,phase,doppler spectrum and related parameters in the small scale fading parameters of the wireless fading channel model,intuitively analyzed the data and images of different methods,studied the partial estimation method of rice factor K and its simulation realization,moreover,Euclidean distance is introduced to optimize the existing evaluation method based on NMSE(Normalized Mean Square Error),the performance differences between distinct estimation methods in noise-free and noiseadded environments are evaluated.Finally,studied the performance evaluation analysis method of wireless fading channel modeling method,proposed an evaluation method based on chi-square goodness of fit test for amplitude envelope PDF(Probability Density Function),and suggested an evaluation method based on MAE(Mean Absolute Error)for doppler power spectral density function,the simulation results show that the two methods can effectively evaluate the partial performance of the channel model,in addition,further explored the influence of different variables on method performance on the basis of simulation results. |