A through-wall-imaging approach based on ultra wideband radar

In this paper, we present a through-wall-imaging approach based on ultra wideband radar. We aim to locate stationary objects which are hidden behind a wall. The proposed approach consists of clutter reduction, imaging and image processing methods. We make use of principal component analysis (PCA) for clutter reduction, and back projection for imaging. Finally, for the purpose of image processing some of the basic methods are used such as thresholding, blurring, contour extraction, and ellipse fitting. Our approach is tested and evaluated on real data by making use of MATLAB and OpenCV.