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A Polarized Clustered Channel Model for Indoor Multiantenna Systems at 3.6 GHz

机译:室内多天线系统3.6 GHz极化极化信道模型

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摘要

Multiple-input–multiple-output (MIMO) technologies allow high data rates to be obtained, but they suffer from interantenna correlation caused by the limits in interantenna spacing. Polarized MIMO systems resolve this problem by using colocated perpendicularly polarized antennas that have low interantenna correlation. In this paper, a polarized single-directional channel model for $2times N$ MIMO systems at 3.6 GHz in an indoor environment is presented. The wireless channel is modeled as a sum of clusters, where each cluster has specular and diffuse components. The polarization of the specular component of the clusters is included by considering a per-path polarization. The diffuse component of the clusters is modeled with a Fisher–Bingham (FB5) spectrum in the azimuth–coelevation domain and with an exponential power delay profile. Polarization is analyzed by introducing the cross-polar discrimination of the exponential power delay profile parameters. All of the parameters in the model are extracted from an experimental measurement campaign performed in an indoor environment at 3.6 GHz. Individual paths are extracted from the measurements with the space-alternating generalized expectation–maximization (SAGE) algorithm. These paths are grouped in clusters within the azimuth of arrival–elevation of arrival–delay domains at the receiver side using automatic clustering algorithms. The specular component properties of the clusters are then determined. Finally, the diffuse components of the clusters are investigated and parameterized by applying a beamforming algorithm on the diffuse part of the impulse response.
机译:多输入多输出(MIMO)技术允许获得较高的数据速率,但由于天线间距的限制而导致天线之间的相关性。极化MIMO系统通过使用天线间相关性较低的共置垂直极化天线来解决此问题。本文提出了一种在室内环境下用于3.6 GHz的$ 2×N $ MIMO系统的极化单向信道模型。无线信道被建模为群集的总和,其中每个群集具有镜面反射分量和漫反射分量。通过考虑每个路径的偏振,可以包括群集的镜面反射分量的偏振。群集的扩散分量是使用方位角-共高域中的Fisher-Bingham(FB5)光谱和指数功率延迟曲线进行建模的。通过引入指数功率延迟曲线参数的交叉极化判别来分析极化。该模型中的所有参数均来自在3.6 GHz室内环境中进行的实验测量活动中。使用空间替代广义期望最大化(SAGE)算法从测量中提取单个路径。使用自动聚类算法,这些路径在接收方的到达方位角-到达高度-延迟域内的群集中分组。然后确定群集的镜面反射分量属性。最后,通过在脉冲响应的扩散部分上应用波束成形算法来研究和参数化集群的扩散分量。

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