Flexible set-up of measurement configurations in inverse scattering by SVO

We show that the Singular Value Optimization (SVO) approach can also be used in linear inverse scattering under the Born approximation in a very flexible, efficient and effective way. In particular, we numerically highlight that SVO is able to manage different measurement configurations, in particular multimonostatic, multistatic/single-view and multistatic/multi-view configurations, while properly taking into account the shape and size of both the investigation and measurement domains as well as "partial" acquisitions due to aspect limitations of the data. We also show numerically how SVO is able to determine the frequency sampling, however in the simplified hypothesis of uniform frequency step to keep the computational burden of the optimization low.