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Modeling Human Body Using Four-Pole Debye Model in Piecewise Linear Recursive Convolution FDTD Method for the SAR Calculation in the Case of Vehicular Antenna

机译:车载天线情况下SAR计算的分段线性递归卷积FDTD方法中的四极Debye模型人体

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We propose an efficient finite difference time domain (FDTD) method based on the piecewise linear recursive convolution (PLRC) technique to evaluate the human body exposure to electromagnetic (EM) radiation. The source of radiation considered in this study is a high-power antenna, mounted on a military vehicle, covering a broad band of frequency (100 MHz–3 GHz). The simulation is carried out using a nonhomogeneous human body model which takes into consideration most of the internal body tissues. The human tissues are modeled by a four-pole Debye model which is derived from experimental data by using particle swarm optimization (PSO). The human exposure to EM radiation is evaluated by computing the local and whole-body average specific absorption rate (SAR) for each occupant. The higher in-tissue electric field intensity points are localized, and the SAR values are compared with the crew safety standard recommendations. The accuracy of the proposed PLRC-FDTD approach and the matching of the Debye model with the experimental data are verified in this study.
机译:我们基于分段线性递归卷积(PLRC)技术提出了一种有效的时差有限时域(FDTD)方法,以评估人体暴露于电磁(EM)辐射的程度。本研究中考虑的辐射源是安装在军用车辆上的高功率天线,覆盖的频率范围很广(100 MHz–3 GHz)。使用非均质人体模型进行模拟,该模型考虑了大多数内部人体组织。通过四极点德拜模型对人体组织进行建模,该模型通过使用粒子群优化(PSO)从实验数据中得出。通过计算每个乘员的局部和全身平均比吸收率(SAR)来评估人体对EM辐射的暴露程度。定位较高的组织内电场强度点,并将SAR值与机组安全标准建议进行比较。这项研究证明了所提出的PLRC-FDTD方法的准确性以及Debye模型与实验数据的匹配。

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