Studies On Modeling And Simulation Of MIMO Channel And Markov Model Of Wireless Fading Channel

Wireless Multiple-Input Multiple-Output (MIMO) communication systems using antenna arrays at both the transmitter and the receiver have potential huge channel capacity, so MIMO systems have recently attracted considerable attentions. The design of signal processing algorithm used at the transmitter and the receiver affects the performances of MIMO systems. The design and implementation of signal processing algorithm are related to the communication environment. The performances of the MIMO systems are decided by the fading characteristics of the wireless channel to a great extent. So, it needs to research the modeling and simulation of MIMO channels. The parametrical models of MIMO fading channels are needed to analyze the effect of different array topological structures and different channel parameters on the performance of the communication system, and verify the performance of signal processing algorithm.Firstly, aiming at the modeling of MIMO channels, the two-dimensional (2D) model and the three-dimensional (3D) model of the Rice fading MIMO channels are studied. The work expands the research of MIMO channels modeling. The 2D Geometrically Based Double-Bounce (GBDB) channel models of frequency-nonselective and frequency-selective fading MIMO channels are presented. On accounting of elevation angle (EA) spread of radio wave, a 3D Geometrically Based Single-Bounce (GBSB) channel model for frequency-nonselective fading MIMO channels, and a stochastic 3D model for frequency-selective fading MIMO channels are proposed. The joint space-time-frequency correlation functions of models are given. All the correlation functions take account of all parameters of MIMO systems such as antenna array configuration, mobile of both ends and nonuniform distribution of scatterers in multiple clusters.Secondly, aiming at the simulation and implementation of MIMO channels, the generation of vector channel with the joint space-time-frequency cross-correlation function using the autoregressive (AR) model is proposed. The simulation of coupling channels and performances of simulation using the Kronecker model are analyzed. Based on the simulation of fading channels at the modulating module, the schemes of implementation are presented. Lastly, the Markov models of fading channels are researched. Aiming at the fast fading channels, an improved first order quantized Finited States Markov Channel (FSMC) model and a new method of validating the Markov model are presented. The simulation results of Nakagami distribution fading channel verify the accuracy of the improved first order FSMC model.