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Analysis of mobile phone design features affecting radiofrequency power absorbed in a human head phantom

机译:影响人体头部幻影射频功率的移动电话设计特征分析

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摘要

The US FCC mandates the testing of all mobile phones to demonstrate compliance with the rule requiring that the peak spatial SAR does not exceed the limit of 1.6W/kg averaged over any 1g of tissue. These test data, measured in phantoms with mobile phones operating at maximum antenna input power, permitted us to evaluate the variation in SARs across mobile phone design factors such as shape and antenna design, communication technology, and test date (over a 7-year period). Descriptive statistical summaries calculated for 850MHz and 1900MHz phones and ANOVA were used to evaluate the influence of the foregoing factors on SARs. Service technology accounted for the greatest variability in compliance test SARs that ranged from AMPS (highest) to CDMA, iDEN, TDMA, and GSM (lowest). However, the dominant factor for SARs during use is the time-averaged antenna input power, which may be much less than the maximum power used in testing. This factor is largely defined by the communication system; e.g., the GSM phone average output can be higher than CDMA by a factor of 100. Phone shape, antenna type, and orientation of a phone were found to be significant but only on the order of up to a factor of 2 (3dB). The SAR in the tilt position was significantly smaller than for touch. The side of the head did not affect SAR levels significantly. Among the remaining factors, external antennae produced greater SARs than internal ones, and brick and clamshell phones produced greater SARs than slide phones. Assuming phone design and usage patterns do not change significantly over time, we have developed a normalization procedure and formula that permits reliable prediction of the relative SAR between various communication systems. This approach can be applied to improve exposure assessment in epidemiological research.
机译:美国FCC制定了对所有移动电话的测试,以证明遵守规则,要求峰值空间SAR不超过任何1G组织的1.6W / kg的限制。这些测试数据,在幻影中测量,使用以最大天线输入电源运行的移动电话测量,允许我们评估SARS跨移动电话设计因素的SARS的变化,例如形状和天线设计,通信技术和测试日期(超过7年) )。为850MHz和1900MHz手机和ANOVA计算的描述性统计摘要用于评估前述因素对SARS的影响。服务技术占合规性测试SARS的最大差异,从AMPS(最高)到CDMA,IDEN,TDMA和GSM(最低)。然而,使用期间SARS的主导因素是时间平均天线输入功率,这可能远小于测试中使用的最大功率。这个因素主要由通信系统定义;例如,GSM手机平均输出可以高于CDMA 100系数100.电话形状,天线类型和电话的方向被发现是显着的,但只有在高达2(3DB)的顺序中。倾斜位置的SAR明显小于触摸。头部的一侧没有显着影响SAR水平。在剩下的因素中,外部天线的产生比内部的SAR更大,而砖头和蛤塞手机比幻灯片产生更大的SARS。假设电话设计和使用模式随着时间的推移不会发生显着变化,我们开发了归一化程序和公式,允许可靠地预测各种通信系统之间的相对SAR。这种方法可用于改善流行病学研究中的暴露评估。

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