Data-driven reduced order models for radar imaging in multi-scattering environments

Conventional imaging algorithms for solving the inverse wave problem can be polluted by multiple echoes and other artifacts. We developed an approach, called the Lippmann-Schwinger-Lanczos algorithm, which “absorbs” much of the non-linearity of the classical approach to inverse scattering, thus making the subsequent imaging a lot more straightforward.