?url_ver=Z39.88-2004&rft_val_fmt=info%3Aofi%2Ffmt%3Akev%3Amtx%3Adc&rft.relation=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F897%2F&rft.title=Power+Pattern+Matching-Based+Design+of+Clustered+Phased+Arrays%3A+A+Novel+Method+for+Linear+Arrays&rft.creator=BENONI%2C+Arianna&rft.creator=POLI%2C+Lorenzo&rft.creator=ROCCA%2C+Paolo&rft.creator=MASSA%2C+Andrea&rft.subject=A+WC+Next+Generation+Wireless+Communications&rft.subject=M+EA+Evolutionary+Algorithms&rft.description=This+work+addresses+the+design+of+subarrayed+phased+arrays+(PAs)+with+control+over+only+the+amplitude+and+phase%2C+enabling+the+generation+of+custom-shaped+power+patterns+that+match+with+the+specified+reference+pattern.+The+synthesis+problem+is+approached+within+the+power+pattern+domain%2C+introducing+an+innovative+clustering+method+with+complex+excitations.+This+method+decomposes+the+reference+power+pattern+into+a+series+of+elementary+patterns%2C+equal+in+number+to+the+array+elements.+A+selection+of+representative+results+is+provided+to+demonstrate+the+approach's+capabilities+and+to+evaluate+its+performance+with+respect+to+the+state-of-the-art+(SoA)+excitation+matching+(EM)-based+clustering+techniques.&rft.publisher=ELEDIA+Research+Center+-+University+of+Trento&rft.date=2024-11-01&rft.type=Monograph&rft.type=NonPeerReviewed&rft.format=text&rft.language=en&rft.identifier=http%3A%2F%2Fwww.eledia.org%2Fstudents-reports%2F897%2F1%2FPower_Pattern_Matching-Based_Design_of_Clustered_Phased_Arrays_A_Novel_Method_for_Linear_Arrays.pdf&rft.identifier=++BENONI%2C+Arianna+and+POLI%2C+Lorenzo+and+ROCCA%2C+Paolo+and+MASSA%2C+Andrea++(2024)+Power+Pattern+Matching-Based+Design+of+Clustered+Phased+Arrays%3A+A+Novel+Method+for+Linear+Arrays.++Technical+Report.+ELEDIA+Research+Center+-+University+of+Trento.+++++