?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F802%2F&rft.title=A+Sparseness%E2%80%90Promoting+Total%E2%80%90Variation+Approach+for+the+Design+of+Linear+Clustered+Phased+Arrays&rft.creator=Anselmi%2C+Nicola&rft.creator=Gottardi%2C+Giorgio&rft.creator=Oliveri%2C+Giacomo&rft.creator=MASSA%2C+Andrea&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+CS+Compressive+Sensing&rft.description=This++work++deals++with++the++design++of++contiguously++clustered++linear++phased++arrays+matching+user%E2%80%90defined+requirements+in+terms+of+far%E2%80%90field+radiated+pattern.+Towards+this+aim%2C+a+novel+total%E2%80%90variation+compressive+sensing+(TV%E2%80%90CS)+methodology+has+been+developed++and++customized++to++the++problem++at++hand++such++that++the++sparsity++of++the+gradient++of++the++array++excitations++is++maximized.++Thanks++to++such++an++approach%2C++it++is+possible+to+obtain+highly%E2%80%90performing+designs+with+a+reduced+number+of+sub%E2%80%90arrays.+Some++numerical++results++are++shown++to++assess++the++proposed++TV%E2%80%90CS++method++when+dealing++with++the++clustering++of++linear++arrays++radiating++Taylor++patterns++with++different+requirements+on+the+side%E2%80%90lobe+level+(SLL).&rft.publisher=ELEDIA+Research+Center+-+University+of+Trento&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F802%2F1%2FA_Sparseness-Promoting_Total-Variation_Approach_for_the_Design_of_Linear_Clustered_Phased_Arrays.pdf&rft.identifier=++Anselmi%2C+Nicola+and+Gottardi%2C+Giorgio+and+Oliveri%2C+Giacomo+and+MASSA%2C+Andrea+++A+Sparseness%E2%80%90Promoting+Total%E2%80%90Variation+Approach+for+the+Design+of+Linear+Clustered+Phased+Arrays.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++