Abstract
This work focuses on modeling part of human body as multilayer planar, cylindrical and spherical shape. Simulations on various human body models using the ultra-wide band are carried out at different incident angles in two scenarios: through wall and without the wall. The absorbed power densities of the layers of a multilayer object are found by taking the material properties and geometric parameters into account. The simulated results are demonstrated and thus compared with the theoretical formulations for the verification. Consequently, the effects of frequency change and wall placement in front of the object are discussed. Our findings indicate that the incident angle of waves effect the reflected and absorbed signal amplitude in the body and with the existence of the wall, the signal amplitude level decrease in the range of 0.1% and 0.01% depending on the layer of the body it absorbs.
Highlights
Through-the-wall imaging makes it possible to determine the layout of a multilayer object and detect what is in it through the outer walls
Each change in propagation medium induces reflection onto the electromagnetic waves
There are studies to investigate the feasibility of classifying human activities, human detection and tracking using UltraWide Band (UWB) [4], [5]
Summary
Through-the-wall imaging makes it possible to determine the layout of a multilayer object and detect what is in it through the outer walls. The technology that has low energy levels for transmitting information over a large bandwidth is called UltraWide Band (UWB). There are studies to investigate the feasibility of classifying human activities, human detection and tracking using UWB [4], [5]. Though it has many advantages, the main disadvantage of using UWB signals is the high interference rate. This study consists of the adaptation and simulation of UWB through the wall radar and its application for detecting an object of interest. Ultra-Wideband Waves Through Multilayer Planar, Cylindrical and Spherical Models the same object (an average human body model) are compared to see the effects of choosing the correct modeling technique
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