Research Consultant, Cabo Frio/RJ, CEP 28915-330, Brazil.
Huawei Technologies Co., Ltd., 300 South Oak Way, Reading, RG2 6AD, United Kingdom.
Radiat Prot Dosimetry. 2024 Aug 9;200(13):1294-1305. doi: 10.1093/rpd/ncae161.
Some of the difficulties in numerical modeling of wireless communication devices for dosimetric evaluations arise from, e.g. incomplete documentation available for the numerical model, such as missing information on dielectric materials or the antenna matching circuitry. This study investigates the impact of these difficulties on the dosimetric results, such as the peak spatial average specific absorption rate at 900 and 1800 MHz and the peak spatial average power density at 28 GHz. The impact of dielectric losses, detuning, and mesh resolution is quantified using different generic and Computer Aided Design (CAD) based models of wireless transmitters. The findings show that the uncertainties of the numerical results due to detuning and mesh resolution can be reduced by normalization to the antenna feedpoint power instead of the feedpoint current. Uncertainties due to variations in dielectric losses can largely be compensated by normalization to the radiated power.
在进行用于剂量评估的无线通信设备的数值建模时,会遇到一些困难,例如数值模型的文档不完整,例如缺少关于介电材料或天线匹配电路的信息。本研究调查了这些困难对剂量学结果的影响,例如在 900MHz 和 1800MHz 时的峰值空间平均比吸收率和在 28GHz 时的峰值空间平均功率密度。使用不同的通用和基于计算机辅助设计 (CAD) 的无线发射器模型来量化介电损耗、失谐和网格分辨率的影响。研究结果表明,通过将数值结果的不确定性归一化为天线馈电点功率而不是馈电点电流,可以减少由于失谐和网格分辨率引起的不确定性。通过将归一化为辐射功率,可以在很大程度上补偿介电损耗变化引起的不确定性。