?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F702%2F&rft.title=Numerical+Analysis+of+the+DoA+estimation+through+BCS&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=This+report+deals+with+the+Direction+of+arrival+(DoA)+estimation+problem+formulated+within+the+Bayesian+Compressive+Sensing+(BCS)+framework.+The+performances+of+a+novel+method+that+directly+works+on+the+voltages+measured+at+the+output+of+the+array+elements+without+requiring+the+computation+of+the+covariance+matrix+and+that+provide+accurate+and+reliable+DoAs+estimation+also+without+the+a-priori+knowledge+on+the+number+of+incident+signals+have+been+investigated.+The+effectiveness+of+the+proposed+approach+is+assessed+through+an+extensive+numerical+analysis+addressing+different+scenarios%2C+signal+configurations%2C+and+noise+conditions.&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%2F702%2F1%2FNumerical_Analysis_of_the_DoA_Estimation_Through_BCS.v2.pdf&rft.identifier=++Carlin%2C+M.+and+Rocca%2C+P.+and+Oliveri%2C+G.+and+Massa%2C+A.++(2016)+Numerical+Analysis+of+the+DoA+estimation+through+BCS.++Technical+Report.+University+of+Trento.+++++