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Rain attenuation statistics useful for the design of mobilesatellite communication systems

机译:雨衰统计数据对卫星移动通信系统的设计很有用

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We have investigated how rain attenuation statistics, necessary tondesign fixed satellite systems working at frequencies greater than 10nGHz, are transformed to those applicable to the design of mobilensatellite systems working in the same frequency bands and weathernconditions in the special case of vehicles driven in zig-zag patterns tonsimulate city streets. The vehicles' speed has been modeled as anlognormal random variable, a mathematical model derived fromnmeasurements performed in freeways or in city traffic. We have used anlarge number of rain-rate time series collected in Italy (Gera Lario andnFucino) and in Canada (Montreal) to simulate rain-rate spatial fieldsnand radio links at 19.77 GHz along a 30.6° slant path. Thensimulations have shown that a receiving or transmitting terminal movingnin zig-zag patterns may experience, in the long term and for a givennattenuation, a smaller outage probability, compared to the fixednterminal. For a given rain attenuation, the ratio between the outagenprobability of the mobile system and that of the fixed systemn(probability extrapolation factor Ξ) is estimated to be aroundn0.2-0.3 in the optimistic case in which the probability of encounteringnrain is the same for all observers (fixed or in motion)-a lessnoptimistic estimate shows that the probability of encountering rainnmight be twice as large and that, as a consequence, the values of Ξnmentioned must be doubled. Conservative values of Ξ can be calculatednby using average values of rain storm speed and vehicles and averagendistances covered in the rain by fixed and mobile terminals. The resultsnare less sensitive to changes in the geometrical or other parameters ofnthe simulations
机译:我们研究了降雨衰减统计数据(在10nGHz以上的频率上工作所需的tondesign固定卫星系统)如何转换为适用于在Z字形行驶的特殊情况下在相同频段和天气条件下工作的移动卫星系统设计的那些系统图案模仿城市的街道。车辆的速度已建模为对数正态随机变量,该数学模型是从高速公路或城市交通中进行的测量得出的数学模型。我们使用了在意大利(格拉拉里奥和nFucino)和加拿大(蒙特利尔)收集的大量降雨率时间序列来模拟降雨率空间场和沿30.6°倾斜路径的19.77 GHz的无线电链路。随后的仿真表明,与固定终端相比,接收终端或发送终端的移动锯齿形可能会长期出现并在给定的衰减下出现较小的中断概率。对于给定的降雨衰减,在乐观情况下,遇到雨水的概率相同的最佳情况下,移动系统的异常发生概率与固定系统的异常发生概率之比n(概率外推因子Ξ)估计约为n0.2-0.3。所有观察者(固定的或运动中的)-不太乐观的估计表明,遇到雨的概率是原来的两倍,因此,mentionedn的值必须加倍。 using的保守值可以通过使用暴雨速度的平均值和车辆以及固定和移动终端在雨中覆盖的平均强度来计算。结果对模拟的几何或其他参数的变化不太敏感

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