Artificial-Pulse-Noise based Multipath Suppression Method for Through-Wall Imaging Radar

Through-Wall Radar Imaging (TWRI) uses UWB radar technology to detect the targets behind the wall, complete the panoramic view of the target area after the wall. As a new generation of perspective imaging technology, through-wall radar imaging can be widely used in many fields. However, in through-wall radar imaging, a very commonly seen problem is the fake image. The fake image is caused by the sidewall and back wall reflecting the object signal. The matched-filter results cannot distinguish the fake image from the real image in current research. This thesis proposes a new method to suppress fake images caused by the multipath signal in single target and multi-target scenarios. I consider if adding artificial-pulse-noise(APN) into the received raw radar data，after matched-filter processing，the multipath echoes will be suppressed. This thesis first discusses the multipath radar signal model. By further analyzing the matching filter results of direct path signal and multipath signal with and without APN, it can be theoretically proved that adding APN can suppress the fake image. With the radar data from numerical simulation and experimental results, adding APN has been proved to effectively suppress multipath signals in the matched-filter processing. By using the proposed method in through-wall image algorithm, numerical simulation and experimental results show that the proposed method can suppress the ghost images caused by multi-path reflections from the side and back walls in enclosed rooms in a more effective way. In this thesis, a new TWRI algorithm is proposed to suppress fake images without increasing computational complexity. This means that it is easier to use in reality. Using this method, the existing through-wall radar system can be upgraded, which will make the through-wall radar become more important in anti-terrorism and disaster relief.