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首页> 外文期刊>IEEE Transactions on Vehicular Technology >Computational electromagnetic simulation of smart antenna systems in urban microcellular environments
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Computational electromagnetic simulation of smart antenna systems in urban microcellular environments

机译:城市微蜂窝环境中智能天线系统的计算电磁仿真

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The paper presents computational electromagnetics (CEM)-based characterization of smart antenna-system performance in urban microcellular environments. Mutual coupling effects between antenna-array elements are modeled using the method of moments (MoM) and the mobile environment is modeled using electromagnetic ray tracing (ERT). The smart antenna systems simulated in several urban microcells (covering a region of downtown Austin, TX) use uniform circular antenna arrays operating at 1.8 GHz. Direction-of-arrival (DOA) distribution information is used to comment on alternative array geometries for urban microcells. Power distributions are given to illustrate the variability of microcell shape using both DOA- and spatial signature-based downlink beamforming. In addition, these power distributions demonstrate how multivariate optimization can be used to modify microcell shape and to compensate for the presence of a blocking cellular tower. Spatial signature-variation information is used to characterize the overall environment and to motivate vector-autoregressive (VAR) prediction of mobile users' spatial signatures using a Kalman filter. Results from this developed prediction technique are provided for mobile users in the urban microcellular environment.
机译:本文介绍了基于计算电磁(CEM)的城市微蜂窝环境中智能天线系统性能的表征。使用矩量法(MoM)对天线阵列元件之间的互耦效应进行建模,并使用电磁射线追踪(ERT)对移动环境进行建模。在几个城市微小区(覆盖德克萨斯州奥斯汀市中心的一个区域)中模拟的智能天线系统使用工作在1.8 GHz的均匀圆形天线阵列。到达方向(DOA)分布信息用于评论城市微蜂窝的替代阵列几何形状。给出功率分布以说明使用基于DOA和基于空间特征的下行链路波束形成的微蜂窝形状的可变性。此外,这些功率分布证明了如何使用多元优化来修改微蜂窝形状并补偿封闭的细胞塔的存在。空间签名变化信息用于表征整体环境,并使用卡尔曼滤波器激发移动用户空间签名的矢量自回归(VAR)预测。这种发达的预测技术的结果将为城市微蜂窝环境中的移动用户提供。

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