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Research on Key Technology of Indoor MIMO System
Author: XingWang
Tutor: ZengZhaoHua
School: Xi'an University of Science and Technology
Course: Communication and Information System
Keywords: Multiple Input Multiple Output Space-related Rice channel Vertical layered space-time code Detection algorithm
CLC: TN919.3
Type: Master's thesis
Year: 2011
Downloads: 61
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Abstract
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This paper studies the MIMO system channel between the spatial correlation of the channel capacity of the impact analysis of the antenna spacing and angle expansion parameters and spatial correlation relationship between the size , and these conclusions for MIMO technology in indoor environments better application of guiding significance . This also relates to the MIMO system receiver detection algorithm performance simulation analysis , in order to further raise efficiency and low complexity detection algorithms provide a theoretical basis . Firstly, based on the correlation matrix of a MIMO channel established spatial correlation model which takes into account two spaces in the main channel parameter , a is the angle described by the power spectrum of the angular spread , and the other is the antenna spacing. From the simulation results can be obtained in the Rayleigh fading channels , the correlation coefficient between the antenna and the antenna spacing, angle of arrival wave expansion has a direct correlation , in general, the greater the distance between the antenna , wave angular spread wider, then the smaller the correlation coefficient , the greater the correlation coefficient and vice versa , and the larger spatial correlation may cause a loss of channel capacity . Secondly, the paper discusses a small-scale fading indoor MIMO channel model : direct path and scattering path of coexistence Rice fading channel , the simulation performance of the model forecasts , analyzes direct component , scattering component , and Rice factors on the impact of channel capacity , come in direct low rank matrix channel , with the Rice factor value increases , MIMO channel capacity of the system decreases. Finally, the most representative of the MIMO system vertical layered space-time coding system was introduced, and simulation analysis of the system several detection algorithm performance . Assuming ideal channel estimation , the maximum likelihood algorithm derived optimal detection performance , but its computational complexity is relatively high , it is difficult to apply in practice ; based on zero-forcing , MMSE criterion complexity of the algorithm is relatively low, but their detection performance is poor ; while thinking based on the serial interference cancellation zero-forcing , MMSE algorithm performance and complexity are more moderate, and when the number of transmit and receive antennas are 4:00 , the performance of these two algorithms are better than the number of receive antennas is 2 .
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