?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F915%2F&rft.title=An+Iterative+Bayesian+Compressive+Sensing+Approach+for+reconstructing+Non-Born+Scatterer&rft.creator=SALUCCI%2C+Marco&rft.creator=POLI%2C+Lorenzo&rft.creator=ZARDI%2C+Francesco&rft.creator=TOSI%2C+Luca&rft.creator=LUSA%2C+Samantha&rft.creator=MASSA%2C+Andrea&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+CS+Compressive+Sensing&rft.description=This+study+presents+an+advanced+multi-step+inverse+scattering+method%2C+developed+within+the+contrast+source+inversion+(CSI)+framework%2C+to+reconstruct+non-Born+scatterers.+The+technique+utilizes+a+multi-resolution+(MR)+model+to+represent+the+contrast+sources%2C+which+are+progressively+estimated+using+a+Bayesian+compressive+sensing+(BCS)+strategy+with+sparsity+constraints.+The+proposed+MR-BCS-CSI+method+is+thoroughly+tested+using+simulated+data+to+validate+its+precision+and+stability.+Comparative+evaluations+against+current+state-of-the-art+techniques+reveal+the+method%E2%80%99s+strong+performance+and+reliability.&rft.publisher=ELEDIA+Research+Center+-+University+of+Trento&rft.date=2025&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F915%2F1%2FAn_Iterative_Bayesian_Compressive_Sensing_Approach_for_reconstructing_Non-Born_Scatterer.pdf&rft.identifier=++SALUCCI%2C+Marco+and+POLI%2C+Lorenzo+and+ZARDI%2C+Francesco+and+TOSI%2C+Luca+and+LUSA%2C+Samantha+and+MASSA%2C+Andrea++(2025)+An+Iterative+Bayesian+Compressive+Sensing+Approach+for+reconstructing+Non-Born+Scatterer.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++