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Joint Statistical Modeling of Received Power, Mean Delay, and Delay Spread for Indoor Wideband Radio Channels

机译:室内宽带无线电信道的接收功率,平均延迟和延迟扩展的联合统计建模

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We propose a joint statistical model for the received power, mean delay, and rms delay spread, which are derived from the temporal moments of the radio channel responses. Indoor wideband measurements from two different data sets show that the temporal moments are strongly correlated random variables with skewed marginals. Based on the observations, we propose a multivariate log-normal model for the temporal moments, and validate it using the experimental data sets. The proposed model is found to be flexible, as it fits different data sets well. The model can be used to jointly simulate the received power, mean delay, and rms delay spread. We conclude that independent fitting and simulation of these statistical properties is insufficient in capturing the dependencies we observe in the data.
机译:我们针对接收功率,平均延迟和均方根延迟扩展提出了一种联合统计模型,这些模型是根据无线电信道响应的瞬时矩得出的。来自两个不同数据集的室内宽带测量结果表明,时间矩是与偏斜边际高度相关的随机变量。基于这些观察,我们为时间矩提出了一个多元对数正态模型,并使用实验数据集对其进行了验证。发现该提议的模型很灵活,因为它很好地适合了不同的数据集。该模型可用于共同模拟接收功率,平均延迟和均方根延迟扩展。我们得出结论,这些统计属性的独立拟合和模拟不足以捕获我们在数据中观察到的依赖性。

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