Statistical distribution of path interarrivaltimes in indoor environment

R. Kattenbach
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引用次数: 10

Abstract

Interarrivaltimes of paths are investigated with respect to their statistical distribution on the basis of a total amount of 5606 impulse responses measured in 63 different scenarios in an indoor environment. For the detection of paths, an algorithm denoted as "path tracking" is applied, which enables the determination of physically reasonable paths. Evaluation is done by the examination of the frequency distributions of errors when fitting theoretical distribution functions to measured data. An exponential interarrivaltime distribution, as occurring for a standard Poisson process, shows poor correspondence, whereas a Weibull distribution turns out to be very well applicable. A plausible explanation for the applicability of the Weibull distribution for describing the distribution of interarrivaltimes, which was missing up to now, is also given.
室内环境下路径间隔到达时间的统计分布
基于在室内环境中63种不同情况下测量的5606个脉冲响应总量,研究了路径的到达间隔时间及其统计分布。对于路径检测,采用“路径跟踪”算法,确定物理上合理的路径。在将理论分布函数拟合到测量数据时,通过检查误差的频率分布来进行评估。在标准泊松过程中出现的指数到达时间间隔分布显示出较差的对应性,而威布尔分布则非常适用。本文还对威布尔分布描述到达间隔时间分布的适用性给出了一个合理的解释,这是迄今为止所缺少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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