Time Reversal Technique Based on Spatiotemporal Windows for Through the Wall Imaging

Abstract

Time reversal (TR) imaging methods have recently generated considerable interest due to their robustness and ability to locate multiple targets. However, problems arise when the targets are behind an obstructing material. We develop a preprocessing algorithm for TR imaging methods to obtain the images of targets hidden behind a wall, applying temporal and spatial windows on the full-multistatic data matrix (MDM). By using temporal windows, we divide the full-MDM into sub-MDMs. We further segment the sub-MDMs spatially by selecting its elements corresponding to a predetermined number of antennas in space. We take the singular value decomposition of the sub-MDMs to obtain singular value distributions as well as singular vectors which we analyze individually and use for the MUltiple SIgnal Classification TR imaging method. The obtained images from these localized sub-MDMs collectively yield to clearer images of scenarios than we can obtain using the full-MDM.