@techreport{elediasc12894,
            type = {Technical Report},
          author = {Giacomo OLIVERI and Nicola ANSELMI and Marco SALUCCI and Lorenzo POLI and Andrea MASSA},
           title = {Scattering Data Acquisition in Microwave Imaging Using Compressive Sampling Techniques},
           month = {September},
            year = {2024},
       publisher = {ELEDIA Research Center - University of Trento},
        abstract = {This work focuses on the design of data acquisition systems for microwave imaging. Initially, the problem of
scattering data collection is formulated within the framework of Compressive Sampling (CS).
The resulting problem is addressed by minimizing the bound on the Restricted Isometry Constant (RIC)
of the observation matrix, which mathematically models the acquisition system. To achieve this, a novel
incoherence-based RIC bound is developed to account for the underlying physical properties of the microwave
imaging setup. Numerical experiments are conducted to evaluate the information acquisition capabilities of the
proposed method and to assess its impact on the performance of subsequent Compressive Sensing (CS)-based inversion,
in comparison with traditional Nyquist?Shannon sampling techniques.},
             url = {http://www.eledia.org/students-reports/894/},
        keywords = {Compressive Sensing, Inverse Scattering, Inverse Scattering (Free-space)}
}