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MIMO Channel Correlation in General Scattering Environments 一般散射环境下MIMO信道相关
Pub Date : 2005-12-08 DOI: 10.1109/AUSCTW.2006.1625262
T. Lamahewa, R. Kennedy, T. Abhayapala, T. Betlehem
This paper presents an analytical model for the fading channel correlation in general scattering environments. In contrast to the existing correlation models, our new approach treats the scattering environment as non-separable and it is modeled using a bi-angular power distribution. The bi-angular power distribution is parameterized by the mean departure and arrival angles, angular spreads of the univariate angular power distributions at the transmitter and receiver apertures, and a third parameter, the covariance between transmit and receive angles which captures the statistical interdependency between angular power distributions at the transmitter and receiver apertures. When this third parameter is zero, this new model reduces to the well known "Kronecker" model. Using the proposed model, we show that Kronecker model is a good approximation to the actual channel when the scattering channel consists of a single scattering cluster. In the presence of multiple remote scattering clusters we show that Kronecker model over estimates the performance by artificially increasing the number of multipaths in the channel.
本文提出了一般散射环境下衰落信道相关的解析模型。与现有的相关模型相比,我们的新方法将散射环境视为不可分离的,并使用双角功率分布来建模。双角功率分布的参数化包括平均出发角和到达角、发射端和接收端单变量角功率分布的角扩展,以及第三个参数发射端和接收端角之间的协方差,该协方差捕获了发射端和接收端角功率分布之间的统计相互依赖性。当第三个参数为零时,这个新模型简化为众所周知的“Kronecker”模型。利用所提出的模型,我们表明当散射通道由单个散射簇组成时,Kronecker模型是一个很好的近似实际通道。在存在多个远程散射簇的情况下,我们证明了Kronecker模型通过人为地增加信道中多径的数量来高估性能。
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引用次数: 27
Uncertainty principles for signal concentrations 信号集中的不确定原理
Pub Date : 2005-12-07 DOI: 10.1109/AUSCTW.2006.1625252
R. Somaraju, L. Hanlen
Uncertainty principles for concentration of signals into truncated subspaces are considered. The "classic" uncertainty principle is explored as a special case of a more general operator framework. The time-bandwidth concentration problem is shown as a similar special case. A spatial concentration of radio signals example is provided, and it is shown that an uncertainty principle exists for concentration of single-frequency signals for regions in space. We show that the uncertainty is related to the volumes of the spatial regions
考虑了信号集中到截断子空间的不确定性原理。“经典”不确定性原理是作为一个更一般的算子框架的特殊情况来探讨的。时间-带宽集中问题是一个类似的特例。给出了一个无线电信号空间集中的例子,证明了空间区域内单频信号集中存在不确定性原理。我们表明,不确定性与空间区域的体积有关
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引用次数: 7
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2006 Australian Communications Theory Workshop
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