Accuracy Improvement in Through The Wall Radar Based on Deconvolution and Delay Estimation

Through the Wall Radar (TWR) which works at Ultra Wideband (UWB) frequencies us to detect objects behind a wall. This radar can be used to search or evacuate victims of natural disasters buried behind a wall and to speed up the evacuation process. Wall as Obstacles become the main problems that need to be overcome in applying the TWR for a certain purposed. The wall effect can reduce the accuracy of the detection results. The wall causes masking effect on target reflection signal and give a difficulty in detecting the target. The delay propagation that contributes by the wall reduces the accuracy in detecting the location. The characteristics of the wall are needed to achieve for improving the accuracy, therefore the objects can be detected precisely. The method that proposed composes of two subsystems. The first subsystem is the extraction of antenna and wall effects that performed by deconvolution. The second part is delay estimation method. In this study, laboratory experiments were carried out study the performance of the proposed method. The TWR was modeled using a vector network analyzer (VNA). The results obtained by using the deconvolution method and reducing object delay can be detected according to the target with a 2 cm error margin.