M. Serhat Mercan

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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.(More)
In this study, principal component analysis (PCA), singular value decomposition (SVD) and independent component analysis (ICA), which are statistical signal processing methods for clutter reduction, are explained in ultra wideband (UWB) radars. In addition, how to use these methods in through wall imaging (TWI) and time/performance relationship on ARM(More)
— In this paper, we present a real-time through wall imaging (TWI) system based on ultra wideband (UWB) multiple-input multiple-output (MIMO) radar. Our goal is to find the positions of moving objects behind a wall or any other non-conducting obstacle. The system consists of data acquisition, signal processing, image reconstruction and image processing(More)
A real-time through wall imaging system based on ultra wideband (UWB) multiple-input multiple-output (MIMO) radar is presented in this paper. The goal is to find the positions of moving objects hidden behind a wall or any other nonconducting obstacle. The system consists of data acquisition, signal processing, image reconstruction and image processing(More)
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