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Research On Improved MIMO Statistical Channel Model And It's Performance

Posted on:2019-01-31Degree:MasterType:Thesis
Country:ChinaCandidate:H J ZhuFull Text:PDF
GTID:2428330545970117Subject:Electronics and Communications Engineering
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With the rapid development of mobile communication business,the Multiple Input and Multiple Output(MIMO)antenna transceiver technology has been used in wireless communication system widely,it can enhance the performance of channel system significantly without increasing the spectrum bandwidth and transmitting power.The multiple fading channel and antenna arrays of transmitter are regard as the key factor that influence the performance of wireless communication MIMO system,but the transmission performance of wave signal can not be ignored.Therefore,it is necessary to establish a precise and effective channel model for the actual channel environment.This paper is based on MIMO and statistical channel modeling method,mainly research on three parts of MMO wireless communication system,namely,important angle parameter,Spatial Fading Correlation(SFC)and channel capacity.Then,the influence mechanism between former channel parameters and the performance MIMO antenna array system was described mainly.There are four aspects can be discussed in this paper.First of all,the development process and formation mechanism of cellular mobile communication system were introduced,then,the classical channel models such as large scale and small scale fading channel in wireless channel were classified and analyzed.In this section,the method and principle of MIMO statistical channel modeling were highlighted,which lays the foundation for the research of MIMO channel modeling and channel system performance estimation.Secondly,two classical Geometrically-based single-bounce channel models(GBSBCMs)that in the two-dimensional space domain was fused.The idea of limit is adopted,and it is considered that the asymmetric region is negligible when the number of segments divided in the sector N is tends to infinity.Focusing on the important space time parameters of the arrival signal of Gaussian distribution and uniform distribution.Then,a channel model for the actual mobile communication environment of the macro cell was proposed.Based on the calculation of important Spatiotemporal parameter of channel,namely,the probability of angle of arrival and time of arrival,focuses on the analysis of system performance and channel signal arrival angle parameters,explore channel capacity and signal arrival angle expansion mechanism which in Uniform Circular Array(UCA)MIMO antenna system.The channel impulse response function was used in the calculation of SFC function,it greatly reduced the level of complexity by calculating the rate function.In Uniform Linear Array(ULA)and Uniform Circular Array for the antenna array structure,the expression of SFC function and channel capacity were calculated,and the Spatial Fading Correlation of channel can be explained from two aspects,such as the antenna array steering vector and the channel auto-correlation function.The study shows that the angle of spread is the primary factor to control SFC between ULA and UCA array antenna,and the application of the channel impulse response function can greatly reduce the computational complexity of the level pass rate function.Finally,the Von Mishes Fisher(VMF)distribution model is applied to the wireless channel modeling.In this study,we compared the sensitivity of different antenna arrays on channel angle parameters,the relationships among the channel SFC,Mean Angle of Arrival(MAOA)and Mean Elevation of Arrival(MEOA)were determined,the application of channel correlation function in channel covariance matrix was discussed thoroughly.
Keywords/Search Tags:Multiple Input and Multiple Output, Spatiotemporal parameter, Spatial and Fading Correlation, channel capacity
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