<p>The goal of this work is to examine radar absorbing material (RAM)reflectivity (R)through a frequency (f) range from 0.5 GHz to 40 GHz. Variation of nonmagnetic, homogeneous, and non-dispersive RAMR is reformed to facilitate calculations. Effect of dielectric parameters (E and u) on R for one layer-metal-packed RAM with two different thicknesses are given. Electromagnetic interference shielding effectiveness (EMISE)reflection loss (R), absorption loss (A), and internal loss (M)for one and two layers located between two semi-infinite free space media are derived. Attenuation (a)variations with f, e, u, and layer thickness for single and double layer are given in graphical form.</p>

In this work we present a multi-layer channel model for terahertz communication that incorporates both layers of human body tissues and textile layers. Many research works tackled communication channel modelling in human body alone while some other research focused on textile characterization/modelling alone. There is a real gap in connecting these different models. To investigate this, a multi-layer channel model for terahertz communication is developed, this model assumes external textile layer stacked over layers of human body tissues. The electromagnetic properties of the different layers are extracted from previous works that used time domain spectroscopy (TDS) in the terahertz band to characterize each of the considered layers. The model is implemented as a flexible MATLAB/Octave program that enables the simulation of layers with either fixed or random depths. This paper aims to pave the way to connecting patients’ in-body nano-nodes with off-body (on-cloth) nano-nodes by building such a combined channel model. This helps in many applications especially in the medical field. For example, having connected nano-nodes can help in diagnosing diseases, monitoring health by sending information to the external environment, treatment (e.g., increasing or decreasing a certain dose depending on the monitoring), etc. The obtained results show how the THz signal can be affected when it propagates through heterogeneous mediums (i.e., human body tissues and textile). Various types of path-loss has been calculated for this purpose and verified by comparison with results from previous research on separate models of human body and textile.

<p>The goal of this work is to examine radar absorbing material (RAM)reflectivity (R)through a frequency (f) range from 0.5 GHz to 40 GHz. Variation of nonmagnetic, homogeneous, and non-dispersive RAMR is reformed to facilitate calculations. Effect of dielectric parameters (E and u) on R for one layer-metal-packed RAM with two different thicknesses are given. Electromagnetic interference shielding effectiveness (EMISE)reflection loss (R), absorption loss (A), and internal loss (M)for one and two layers located between two semi-infinite free space media are derived. Attenuation (a)variations with f, e, u, and layer thickness for single and double layer are given in graphical form.</p>

In this work we present a multi-layer channel model for terahertz communication that incorporates both layers of human body tissues and textile layers. Many research works tackled communication channel modelling in human body alone while some other research focused on textile characterization/modelling alone. There is a real gap in connecting these different models. To investigate this, a multi-layer channel model for terahertz communication is developed, this model assumes external textile layer stacked over layers of human body tissues. The electromagnetic properties of the different layers are extracted from previous works that used time domain spectroscopy (TDS) in the terahertz band to characterize each of the considered layers. The model is implemented as a flexible MATLAB/Octave program that enables the simulation of layers with either fixed or random depths. This paper aims to pave the way to connecting patients’ in-body nano-nodes with off-body (on-cloth) nano-nodes by building such a combined channel model. This helps in many applications especially in the medical field. For example, having connected nano-nodes can help in diagnosing diseases, monitoring health by sending information to the external environment, treatment (e.g., increasing or decreasing a certain dose depending on the monitoring), etc. The obtained results show how the THz signal can be affected when it propagates through heterogeneous mediums (i.e., human body tissues and textile). Various types of path-loss has been calculated for this purpose and verified by comparison with results from previous research on separate models of human body and textile.

The goal is to determine spectral dielectric properties of a dielectric material (sample) machined to fit X-band rectangular waveguide (WG). Two approaches were utilized to achieve this goal, field approach (FA) and circuit approach (CA) in FA the boundary conditions at interfaces of the rectangular sample were used to address the reflection coefficient at the sample input. In CA the ABCD matrices of WG sections (airsample-air) were cascaded and transformed to obtain system transmission/reflection properties (scattering matrix ), in both FA and CA a deterministic equation roots were scanned using Muller's algorithm. Data fitting is carried using complex nonlinear least square (CNLS). An agreement was noticed for FA and CA at low and mid ranges of WG working band. Teflon and Polystrene results match the publishing data.