Application of the Modal CFS-PML-FDTD to the Analysis of Magnetic Photonic Crystal Waveguides

Jung, Kim Hyun; Ju, Shenghong; Teixeira, F.L.

doi:10.1109/lmwc.2011.2106199

Cited by 20 publications

(4 citation statements)

References 16 publications

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“…Therefore, in this work, the slot-type Doppler radar antenna with good performance is designed and fabricated. To demonstrate the performance of the designed Doppler radar antenna, the Doppler radar antenna in front of the Duke phantom's abdomen [14] is simulated by using Sim4life [15], which is based on the finite-difference time-domain (FDTD) method [16][17][18]. The performance is evaluated by analyzing the signal returned from the phantom.…”

Section: Introductionmentioning

confidence: 99%

Numerical Study on the Feasibility of a 24 GHz ISM-Band Doppler Radar Antenna for Near-Field Sensing of Human Respiration in Electromagnetic Aspects

Park

Kim

et al. 2020

Applied Sciences

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The feasibility study of a 24 GHz industrial, scientific, and medical (ISM) band Doppler radar antenna in electromagnetic aspects is numerically performed for near-field sensing of human respiration. The Doppler radar antenna consists of a transmitting (Tx) antenna and a receiving (Rx) antenna close to the human body for a wearable device. The designed slot-type Doppler radar antenna is embedded between an RO4350B superstrate and an FR-4 substrate. To obtain the higher radiation pattern of the antenna towards the human body, a ground plane reflector is placed underneath the substrate. The measured −10 dB reflection coefficient (S11) bandwidth is 23.74 to 25.56 GHz and the mutual coupling (S21) between Tx and Rx antennas is lower than −30 dB at target frequencies. The Doppler radar performance of the proposed Doppler radar antenna is performed numerically by investigating the signal returned from the human body. The Doppler effect due to human respiration is investigated through the I/Q and arctangent demodulation of the returned signal. According to the results, the phase variation of the returned signal is proportional to the displacement of the body surface, which is about 0.8 rad in accordance with 1 mm displacement. The numerical experiments indicate that the proposed Doppler radar antenna can be used for near-field sensing of human respiration in electromagnetic aspects.

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Section: Introductionmentioning

confidence: 99%

Numerical Study on the Feasibility of a 24 GHz ISM-Band Doppler Radar Antenna for Near-Field Sensing of Human Respiration in Electromagnetic Aspects

Park

Kim

et al. 2020

Applied Sciences

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“…Note that an absorbing boundary condition should employed be to terminate the computational space because FDTD is developed based on partial difference equation. Material-independent perfectly matched layer (PML) can be incorporated in QCRF-FDTD, based on the stretched coordinate approach [51], [52]. For example, final update equations for H x and D x can be written as ( 8) and ( 9), as at the previous page, respectively.…”

Section: B Mmwave Dispersive Fdtd Algorithmmentioning

confidence: 99%

Finite-Difference Time-Domain Modeling for Electromagnetic Wave Analysis of Human Voxel Model at Millimeter-Wave Frequencies

Baek¹,

Kim²,

Jung³

2019

IEEE Access

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The finite-difference time-domain (FDTD) modeling of a human voxel model at millimeter-wave (mmWave) frequencies is presented. It is very important to develop the proper geometrical and electrical modeling of a human voxel model suitable for accurate electromagnetic (EM) analysis. Although there are many human phantom models available, their voxel resolution is too poor to use for the FDTD study of EM wave interaction with human tissues. In this paper, we develop a proper human voxel model suitable for mmWave FDTD analysis using the voxel resolution enhancement technique and the image smoothing technique. The former can improve the resolution of the human voxel model and the latter can alleviate staircasing boundaries of the human voxel model. Quadratic complex rational function is employed for the electrical modeling of human tissues in the frequency range of 6-100 GHz. Massage passing interface-based parallel processing is also applied to dramatically speed up FDTD calculations. Numerical examples are used to illustrate the validity of the mmWave FDTD simulator developed here for bio electromagnetics studies. INDEX TERMSFinite-difference time-domain (FDTD) method, electromagnetic wave, human tissue, dispersion model, parallel processing, bioelectromagnetics, Doppler radar. JAE-WOO BAEK received the B.S. degree in electronics and information engineering from Korea University, Sejong, South Korea, in 2015, and the M.S. degree in electrical engineering from Hanyang University, Seoul, South Korea, in 2017, where he is currently pursuing the Ph.D. degree in electrical and computer engineering. His current research interests include computational electromagnetics, bioelectromagnetics, and parallel programming.

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“…The finite-difference time domain (FDTD) method (Taflove & Hagness, 2005;Ye, Tang, & Li, 2009) has been a powerful technique to simulate wave propagation in dispersive media such as magnetic media (Jung, Donderici, & Teixeira, 2006;Jung, Ju, & Teixeira, 2011;Singh, Tan, & Chen, 2011), metal nanostructures (Hosseini, Nejati, & Massoud, 2008;Jung, Teixeira, & Reano, 2007), and metamaterials (Nascimento, Jung, Borges, & Teixeira, 2009;Zhao, Belov, & Hao, 2007) because of its accuracy, robustness, and matrix-free calculations. For many types of dispersive media, several modelling methods have been proposed, such as Debye, Lorentz, and Drude models (Taflove & Hagness, 2005;Teixeira, 2008).…”

Section: Introductionmentioning

confidence: 99%

Accurate FDTD modelling for dispersive media using rational function and particle swarm optimisation

Chung

Choi

et al. 2014

International Journal of Electronics

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This article presents an accurate finite-difference time domain (FDTD) dispersive modelling suitable for complex dispersive media. A quadratic complex rational function (QCRF) is used to characterise their dispersive relations. To obtain accurate coefficients of QCRF, in this work, we use an analytical approach and a particle swarm optimisation (PSO) simultaneously. In specific, an analytical approach is used to obtain the QCRF matrix-solving equation and PSO is applied to adjust a weighting function of this equation. Numerical examples are used to illustrate the validity of the proposed FDTD dispersion model.

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Application of the Modal CFS-PML-FDTD to the Analysis of Magnetic Photonic Crystal Waveguides

Cited by 20 publications

References 16 publications

Numerical Study on the Feasibility of a 24 GHz ISM-Band Doppler Radar Antenna for Near-Field Sensing of Human Respiration in Electromagnetic Aspects

Numerical Study on the Feasibility of a 24 GHz ISM-Band Doppler Radar Antenna for Near-Field Sensing of Human Respiration in Electromagnetic Aspects

Finite-Difference Time-Domain Modeling for Electromagnetic Wave Analysis of Human Voxel Model at Millimeter-Wave Frequencies

Accurate FDTD modelling for dispersive media using rational function and particle swarm optimisation

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