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机构地区:[1]华南理工大学电子与信息学院,广东广州510640
出 处:《华南理工大学学报(自然科学版)》2006年第6期21-24,共4页Journal of South China University of Technology(Natural Science Edition)
基 金:国家自然科学基金资助项目(60101002)
摘 要:考虑到多输入多输出(M IMO)系统的收发分集优势和空间相关莱斯快衰落信道的普遍性,根据多变量统计学理论,推导出了M IMO系统在空间相关莱斯快衰落信道下平均成对差错概率上界的闭合表达式,发现随着信道空间相关性的增强或者莱斯分量的下降,系统误码性能呈下降趋势,最后通过仿真实验验证了理论推导的正确性.By considering the advantages of MIMO (Multi-Input Muhi-Output) system in transmitting and receiving diversity as well as the universality of spatially correlated fast fading Rician channels, a close-form solution to the upper bound of the average pairwise error probability of MIMO system with spatially correlated fast Rician fading is derived based on the multivariate statistic theory. It is found that the system performance tends to decrease when the spatial correlation of channels increases or the Rician factor decreases. The correctness of the theory derivation is finally Verified by simulation.
分 类 号:TN911.22[电子电信—通信与信息系统]
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