Full Sparsity in Compressive Processing for Non-Linear Inverse Scattering

Nicola Anselmi (1) , Andrea Massa (2, 1)

1 UNITN - Università degli Studi di Trento = University of Trento
2 L2S - Laboratoire des signaux et systèmes

This work presents an innovative full sparse inverse scattering method for non-linear inverse scattering problems. The retrieval of the total field configuration inside a non accessible domain is solved using an efficient Compressive Processing inversion. Accordingly, an over-complete dictionary is built and optimized using a dictionary learning algorithm, in order to assure the sparse representation of the unknowns.

Domaines: Electromagnétisme; Traitement du signal et de l'image [eess.SP]

Nicola Anselmi, Andrea Massa. Full Sparsity in Compressive Processing for Non-Linear Inverse Scattering. 2019 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting, Jul 2019, Atlanta, United States. pp.1011-1012, ⟨10.1109/APUSNCURSINRSM.2019.8888470⟩. ⟨hal-02420208⟩