Fast Imaging of Thin, Curve-Like Electromagnetic Inhomogeneities without a Priori Information

Fast Imaging of Thin, Curve-Like Electromagnetic Inhomogeneities without a Priori Information

Blog Article

It is well-known that subspace migration is a stable and effective non-iterative imaging technique in inverse scattering problem.However, for a proper Teaset application, a priori information of the shape of target must be estimated.Without this consideration, one cannot retrieve good results via subspace migration.In this paper, we identify the mathematical structure of single- and multi-frequency subspace migration without any a priori of unknown targets and explore its certain properties.

This is Carbon Offset based on the fact that elements of so-called multi-static response (MSR) matrix can be represented as an asymptotic expansion formula.Furthermore, based on the examined structure, we improve subspace migration and consider the multi-frequency subspace migration.Various results of numerical simulation with noisy data support our investigation.