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Broadband time-varying MIMO channel modeling and simulation studies

Author: HuangBiXiang
Tutor: ShenDongZuo
School: Yunnan University
Course: Communication and Information System
Keywords: MIMO channel model Broadband time-varying Weichselberger model Shape filter
CLC: TN925
Type: Master's thesis
Year: 2010
Downloads: 65
Quote: 0
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Abstract


In recent years, multiple-input multiple-output (MIMO) antenna technology can significantly improve the spectral efficiency of wireless communication systems and channel capacity has been widespread concern. In wireless communications, the signal propagation by various obstacles and other moving objects, resulting in a signal to reach the receiver have different degrees of decline. Thus, for a variety of complex wireless fading channel environment, establish accurate MIMO channel model is designed to evaluate the MIMO communication system and an important factor in system performance is good or bad. This article from the current domestic and international situation MIMO channel model starting for broadband time-varying MIMO channel model in-depth research, the main work is as follows: First, an overview of the MIMO radio channel parameters, analysis of MIMO wireless channel fading characteristics, in-depth study MIMO channel spatial correlation. Secondly, in the produce colored Gaussian random process, a detailed study using sine wave superposition method Jakes simulation model, in order to generate multiple unrelated apply MIMO Rayleigh channel modeling, this paper to improve it, by Dhoop Le coefficient discrete Doppler frequency, the Doppler phase randomized product and use of the oscillator, and to eliminate the correlation between the Rayleigh wave to improve the performance of the model, and validated by simulation. Then discusses another colored Gaussian random process generates shaping filter method, by adding uniformly distributed random phase shift to eliminate correlation between each path improvements. Then, based on the correlation matrix of the MIMO channel modeling, in order to consider the sending and receiving ends of the joint correlation model replaces the Weichselberger Kronecker model, combined with the third proposes an improved shape filter, and then the two kinds of improvements applied to the correlation matrix based IEEE 802.11n channel modeling and simulation. Discusses the space-time-frequency random MIMO channel modeling method by describing the discrete frequency and discrete-time time-varying frequency response of departure, a can reflect the actual physical channel empty time-frequency correlation matrix, so that the random MIMO channel modeling converted to solving a series of simulation parameters. Proposed two solving methods - parameter calculation method and the iterative bicyclic model solution based on geometric approach and the use of measured data simulation. Finally, the text of a summary, a clear future need for further research to explore the possible research directions.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Wireless communications > Radio relay communications,microwave communications
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