Since radio frequency (RF) signals from public mobile systems are stochastic and exhibit large temporal variations, the results of measurements, typically E field measurements, are time dependent and highly variable. Therefore, any 6-min measurements and 6-min averaged results to obtain the mean level strength at a given place may not be so reliable when it comes to determine long-term exposure levels. Specifically, the results of such short-term exposure assessments can be both under- or overestimated depending on whether the extreme value is caught during the measurement time. Because the RF range is active 24 h a day, the authors suggest that the monitoring process should cover the same time period. To evaluate the variability of measurement results, the analysis in this paper was conducted through descriptive statistics of the 24-h instantaneous, time-averaged and integral-based values. By applying the 24-h time-averaged and integral-based measure on a 24-h data set of measurements, the variability of daily exposure could be reduced to ±20% of the mean week value obtained either with the time-averaged or integral-based measure.

中文翻译：

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使用时间平均和基于积分的度量来表征来自公共移动系统的电磁辐射。

由于来自公共移动系统的射频（RF）信号是随机的，并且表现出较大的时间变化，因此测量结果（通常是E场测量）与时间有关且变化很大。因此，在确定长期暴露水平时，在给定位置获得平均水平强度的任何6分钟测量和6分钟平均结果可能都不那么可靠。具体而言，此类短期暴露评估的结果可能会被低估或高估，这取决于在测量期间是否捕获了极值。由于RF范围是每天24小时处于活动状态，因此作者建议监视过程应覆盖相同的时间段。为了评估测量结果的变异性，本文通过对24小时瞬时值，时间平均值和基于积分的值进行描述性统计来进行分析。通过对基于24小时的测量数据集应用基于24小时的时间平均和基于积分的测量，可以将每日暴露的变异性降低到使用时间平均或积分获得的平均周值的±20％基于度量。