The shape reconstruction of a strong large scattering object made up of elementary shapes and embedded within a large investigation domain is dealt with from the undersampled multifrequency backscattered field data. First, a migration algorithm is run that, despite aliasing, allows reducing the spatial region, where the scatterer can be located. Then, the overall shape is determined by identifying the elementary ones through a multiple signal classification algorithm. The approach is numerically tested for a 2-D geometry, and it proves to be robust against uncertainties on data.
|Titolo:||A Strategy for Reconstructing Simple Shapes From Undersampled Backscattered Data|
|Data di pubblicazione:||2016|
|Appare nelle tipologie:||1.1 Articolo in rivista|