A high-resolution imaging algorithm based on scattered waveform estimation for UWB pulse radar systems

Abstract

Target estimation methods with UWB pulse signals are promising as imaging techniques for household or rescue robots. We have already proposed an efficient al-gorithm for shape estimation, SEABED (Shape Estimation Algorithm based on BST and Extraction of Directly scattered waves), which is based on a reversible transform BST (Boundary Scattering Transform) between the time delay and the target shape. In this method, we determine quasi wavefronts from received signals with the matched filter of the transmitted waveform. However, the scattered wave-form is in general different from the transmitted one depending on the shape of targets. These differences cause estimation errors in SEABED method. In this paper, we propose a high-resolution algorithm for general convex targets based on the scattered waveform estimation, and evaluate the method by numerical simulations.