An Image Stabilization Algorithm for UWB Pulse Radars with Fractional Boundary Scattering Transform

In this paper, we have proposed an image stabilization algorithm for the fast imaging algorithm SEABED with UWB pulse radars. Although SEABED algorithm can estimate target shapes in a remarkably short time, it has a weakness for noisy data. Therefore, a stabilization procedure is needed to utilize the SEABED algorithm. The proposed stabilization method in this paper is based on a novel transform FIBST which is obtained by expanding the conventional transform IBST. This new transform enables us to deal with the intermediate space between the real space and the data space. In the intermediate space with a suitable parameter, the smoothing hardly degrades the resolution of the estimated image. We analytically derived the optimum parameter for FIBST and developed the stabilization algorithm which can be applied to any target shape. Both stabilization and high-resolution are achieved by the proposed algorithm. The application example showed that the estimation accuracy is improved by 3 times for some cases