Abstract
In this paper, static human detection behind the wall using UWB radar sensing experiment illustrates that collected signal from human respiratory system is very weak due to influence of dominant energy clutter. Different types of wall material such as wooden door, brick wall and concrete wall are consider for experiment. Singular Value Decomposition (SVD) and Wavelet transform techniques are used to suppress unwanted clutter. Signal peak of each iteration is considered as target position after clutter removal. The experimental result of both methods is demonstrated and compared. Distance estimation for all scenarios SVD shows better performance than Wavelet Transform except for wooden door scenario. Distance estimation is more precise for low dielectric wall materials.
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