BUILDING STRUCTURE RECONSTRUCTION WITH UAV-BORNE THROUGH-WALL RADAR

Through-wall radar (TWR) building structure reconstruction holds significant practical significance and research value in various fields, such as counter-terrorism operations, disaster relief, and surveillance. However, traditional TWR is a hand-held or vehicle-mounted equipment, which is challenging to use in tower blocks and complex terrain scenes. To solve the limitations of traditional TWR systems, this paper utilizes a TWR system equipped on a small multi-rotor unmanned aerial vehicle (UAV) to perform synthetic aperture radar (SAR) mode scans and reconstruct building structures. First, this paper reviewed back-projection (BP) and range-Doppler (RD) algorithms for building structure reconstruction. Then, UAV-borne TWR was used to efficiently collect radar echoes from the front and side of building. Finally, BP and RD algorithms were employed to image wall layout with high-quality. The experiments show that UAV-borne TWR offers higher efficiency and convenience in complex scenes. The performed experiment further extends the conventional imaging scenarios. This paper demonstrates that building structure reconstruction with UAV-borne TWR is a feasible approach and has wild applications.