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

摘要

Target estimation methods with UWB pulse signals are promising as imaging techniques for interior robots. We have already proposed an efficient algorithm of shape estimation named 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 time delay and target shapes. In this method, we take a quasi-wavefront from received signals with the matched filter of transmitted waveform in order to estimate a target shape. However, the scattered waveform is different from the transmitted waveform in general depending on the target shape. This difference causes estimation errors in SEABED method. In this report, we propose a high-resolution algorithm of polygonal-target shape estimation based on the scattered waveform estimation, and evaluate the method by numerical simulations.