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Signal Power Distribution in the Azimuth, Elevation and Time Delay Domains in Urban Environments for Various Elevations of Base Station Antenna

机译:基站天线各种仰角的城市环境中方位角,仰角和时延域中的信号功率分布

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We investigate signal power distribution in the azimuth-of-arrival, elevation-of-arrival and time-of-arrival domains for various positions of the base station antenna located below the rooftop as well as at rooftop level. This article is based on a multiparametric stochastic model we introduced in 2004, as combination of a statistical part, describing an array of buildings randomly distributed at the terrain, and a waveguide model, describing a grid of straight streets with buildings along them. Joint signal power distributions in azimuth-time delay and elevation-azimuth planes are obtained and compared to high-resolution 3-D measurements carried out in downtown Helsinki. A good agreement between theoretical predictions and the measurements is obtained basically, and also regarding the wave-guiding effect and antenna height dependencies. A satisfactory physical explanation, which accounts for the character of the specific building topography, the height and tilt of the antennas, is found. Finally, we present a numerical experiment of changing the base station antenna height, its directivity, and tilt. By this we show that the proposed stochastic approach allows to predict and control a-priori main parameters of smart antenna based only on knowledge of specific features of built-up terrain.
机译:我们研究了位于屋顶下方和屋顶水平的基站天线各个位置的到达方位角,到达高度和到达时间域中的信号功率分布。本文基于我们于2004年引入的多参数随机模型,该模型是统计部分和波导模型的组合,该统计部分描述了随机分布在地形上的建筑物,而波导模型则描述了沿直街道的网格以及沿建筑物的建筑物。获得了方位角时间延迟平面和仰角方位角平面中的联合信号功率分布,并将其与在赫尔辛基市中心进行的高分辨率3-D测量进行了比较。基本上在理论预测和测量之间以及关于波导效应和天线高度依赖性方面都取得了良好的一致性。找到了令人满意的物理解释,该解释解释了特定建筑物地形的特征,天线的高度和倾斜度。最后,我们提供了一个改变基站天线高度,方向性和倾斜度的数值实验。由此可见,所提出的随机方法仅基于对堆积地形的特定特征的了解就可以预测和控制智能天线的先验主要参数。

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