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dc.contributor.authorGuo, J. C.en_US
dc.contributor.authorTsai, Y. H.en_US
dc.date.accessioned2014-12-08T15:09:51Z-
dc.date.available2014-12-08T15:09:51Z-
dc.date.issued2007en_US
dc.identifier.isbn978-1-4244-0530-5en_US
dc.identifier.issn1529-2517en_US
dc.identifier.urihttp://hdl.handle.net/11536/7545-
dc.identifier.urihttp://dx.doi.org/10.1109/RFIC.2007.380887en_US
dc.description.abstractA broadband and scalable lossy substrate model is developed and validated for nanoscale RF MOSFETs of different finger numbers and adopting various pad structures such as lossy, normal, and small pads. The broadband accuracy is justified by good match with S- and Y-parameters up to 40 GHz. The measured noise characteristics in terms of four noise parameters can be accurately simulated up to 18 GHz. The scalable lossy substrate model can consistently predict the abnormally strong ringer number dependence and nonlinear frequency response of noise figure (NF(min)) revealed by the devices with lossy pads. Furthermore, the scalable model can precisely distribute the substrate loss between the transmission line (TML) and pads of various metal topologies and the resulted excess noises. The enhanced model provides useful guideline for appropriate layout of pads and TML to effectivelv reduce the excess noises. The remarkably suppressed noise figure to ideally intrinsic performance can be approached by the small pad in this paper.en_US
dc.language.isoen_USen_US
dc.subjectRF MOSFETen_US
dc.subjectnoiseen_US
dc.subjectlossy substrateen_US
dc.subjectpaden_US
dc.titleA scalable lossy substrate model for nanoscale RF MOSFET noise extraction and simulation adapted to various pad structuresen_US
dc.typeArticleen_US
dc.identifier.doi10.1109/RFIC.2007.380887en_US
dc.identifier.journal2007 IEEE RADIO FREQUENCY INTEGRATED CIRCUITS (RFIC) SYMPOSIUM, DIGEST OF PAPERSen_US
dc.citation.spage299en_US
dc.citation.epage302en_US
dc.contributor.department電子工程學系及電子研究所zh_TW
dc.contributor.departmentDepartment of Electronics Engineering and Institute of Electronicsen_US
dc.identifier.wosnumberWOS:000248148800067-
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