Low-Frequency Data Learning for Solving Highly Nonlinear Inverse Scattering Problems

In this paper, we apply the low-frequency data learning scheme to solve highly nonlinear inverse scattering problems (ISPs). The high nonlinearity of ISP will cause the optimization process to fall into false solutions. To alleviate the nonlinearity, we can lower the operating frequency to reduce the electric size of the targets. However, low-frequency data are usually unavailable. Therefore, we a...