?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F701%2F&rft.title=Bayesian+Compressive+Sensing-based+Method+for+Directions-of-Arrival+Estimation&rft.creator=Carlin%2C+M.&rft.creator=Rocca%2C+P.&rft.creator=Oliveri%2C+G.&rft.creator=Massa%2C+A.&rft.subject=M+CS+Compressive+Sensing&rft.subject=M+LBE+Learning-by-Example+Methods&rft.description=In+this+report%2C+the+estimation+of+the+directions+of+arrival+(DoAs)+of+narrow-band+signals+impinging+on+a+linear+antenna+array+is+addressed+within+the+Bayesian+compressive+sensing+(BCS)+framework.+Unlike+several+state-of-the-art+approaches%2C+the+voltages+at+the+output+of+the+receiving+sensors+are+directly+used+to+determine+the+DoAs+of+the+signals+thus+avoiding+the+computation+of+the+correlation+matrix.+Towards+this+end%2C+the+estimation+problem+is+properly+formulated+to+enforce+the+sparsity+of+the+solution+in+the+linear+relationships+between+output+voltages+(i.e.%2C+the+problem+data)+and+the+unknown+DoAs.+A+careful+calibration+of+the+BCS+parameters+is+reported+in+the+report+after+the+problem+formulation.&rft.publisher=University+of+Trento&rft.date=2016&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F701%2F1%2FBayesian_Compressive_Sensing-based_Method_for_Directions-of-Arrival_Estimation.v2.pdf&rft.identifier=++Carlin%2C+M.+and+Rocca%2C+P.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2016)+Bayesian+Compressive+Sensing-based+Method+for+Directions-of-Arrival+Estimation.++Technical+Report.+University+of+Trento.+++++