Full Sparsity in Compressive Processing for Non-Linear Inverse Scattering

Abstract : 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.
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https://hal.archives-ouvertes.fr/hal-02420208
Contributor : Andrea Massa <>
Submitted on : Thursday, December 19, 2019 - 5:28:11 PM
Last modification on : Wednesday, January 8, 2020 - 1:32:46 AM

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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⟩

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