| Title | Dealing with Correlation and Sparsity for an Effective Exploitation of the Compressive Processing in Electromagnetic Inverse Problems |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Anselmi, Nicola, Poli, Lorenzo, Oliveri, Giacomo, Rocca, Paolo, Massa, Andrea |
| Conference Name | 2019 13th European Conference on Antennas and Propagation (EuCAP) |
| Keywords | composability, compressed sensing, compressive processing, Compressive Processing paradigm, compressive sampling, compressive sensing, conventional compressive sensing, CP, Cyber-physical systems, dielectric profiles, effective exploitation, electromagnetic inverse problems, first order Born approximation, image processing, Image reconstruction, Imaging, inverse problems, inverse scattering, Microwave antennas, microwave imaging, particle swarm, privacy, pubcrawl, Resiliency, scatterers, sensing problems, Sensors, tomographic microwave |
| Abstract | In this paper, a novel method for tomographic microwave imaging based on the Compressive Processing (CP) paradigm is proposed. The retrieval of the dielectric profiles of the scatterers is carried out by efficiently solving both the sampling and the sensing problems suitably formulated under the first order Born approximation. Selected numerical results are presented in order to show the improvements provided by the CP with respect to conventional compressive sensing (CSE) approaches. |
| Citation Key | anselmi_dealing_2019 |
Dealing with Correlation and Sparsity for an Effective Exploitation of the Compressive Processing in Electromagnetic Inverse Problems