Modeling linear lumped loads in the FDTD method using piecewise linear recursive convolution method

2005 ◽  
Author(s):  
Jung-Yub Lee ◽  
Jeong-Hae Lee ◽  
Hyun-Kyo Jung
Keyword(s):  
Piecewise Linear ◽  
Fdtd Method ◽  
Convolution Method ◽  
Recursive Convolution

scholarly journals 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

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Ammar Guellab ◽  
Qun Wu
Keyword(s):  
Experimental Data ◽  
Human Body ◽  
Piecewise Linear ◽  
Broad Band ◽  
Fdtd Method ◽  
Debye Model ◽  
Whole Body ◽  
Human Body Model ◽  
Body Tissues ◽  
Recursive Convolution

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.

scholarly journals THE ADI-FDTD METHOD INCLUDING LUMPED NETWORKS USING PIECEWISE LINEAR RECURSIVE CONVOLUTION TECHNIQUE

2013 ◽  
Vol 30 ◽  
pp. 67-77
Author(s):  
Fen Xia ◽  
Qing-Xin Chu ◽  
Yong-Dan Kong ◽  
Zhi-Yong Kang
Keyword(s):  
Piecewise Linear ◽  
Fdtd Method ◽  
Recursive Convolution
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