A Robust and Fast Imaging Algorithm without Derivative Operations for Uwb Pulse Radars

Target shape estimation with UWB pulse radars is promising as an imaging technique for household robots. We have already proposed a fast imaging algorithm, SEABED based on a reversible transform BST (Boundary Scattering Transform) between the received signals and the target shape. However the target image obtained by SEABED deteriorates in a noisy environment because it utilizes a derivative of received data. In this paper, we propose a robust imaging method with an envelope of circles. In a numerical simulation, we clarify that the proposed method can realize a robust and fast imaging, which cannot be achieved by SEABED.