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dc.contributor.advisorSilva-Martinez, Jose
dc.creatorPark, Joung Won
dc.date.accessioned2010-10-12T22:31:03Z
dc.date.accessioned2010-10-14T15:59:53Z
dc.date.available2010-10-12T22:31:03Z
dc.date.available2010-10-14T15:59:53Z
dc.date.created2009-08
dc.date.issued2010-10-12
dc.date.submittedAugust 2009
dc.identifier.urihttps://hdl.handle.net/1969.1/ETD-TAMU-2009-08-827
dc.description.abstractIn this work, a highly linear broadband Low Noise Amplifier (LNA) is presented. The linearity issue in broadband Radio Frequency (RF) front-end is introduced, followed by an analysis of the specifications and requirements of a broadband LNA through consideration of broadband, multi-standard front-end design. Metal-Oxide- Semiconductor Field-Effect Transistor (MOSFET) non-linearity characteristics cause linearity problems in the RF front-end system. To solve this problem, feedback and the Derivative Superposition Method linearized MOSFET. In this work, novel linearization approaches such as the constant current biasing and the Derivative Superposition Method using a triode region transistor improve linearization stability against Process, Supply Voltage, and Temperature (PVT) variations and increase high power input capability. After analyzing and designing a resistive feedback LNA, novel linearization methods were applied. A highly linear broadband LNA is designed and simulated in 65nm CMOS technology. Simulation results including PVT variation and the Monte Carlo simulation are presented. We obtained -10dB S11, 9.77dB S21, and 4.63dB Noise Figure with IIP3 of 19.18dBm for the designed LNA.en
dc.format.mimetypeapplication/pdf
dc.language.isoen_US
dc.subjectLNAen
dc.subjectLow Noise Amplifieren
dc.subjectBroadbanden
dc.subjectLinearen
dc.subjectDerivative Superpositionen
dc.subjectRF Front-Enden
dc.subjectRFICen
dc.titleA Highly Linear Broadband LNAen
dc.typeBooken
dc.typeThesisen
thesis.degree.departmentElectrical and Computer Engineeringen
thesis.degree.disciplineElectrical Engineeringen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameMaster of Scienceen
thesis.degree.levelMastersen
dc.contributor.committeeMemberChang, Kai
dc.contributor.committeeMemberHoyos, Sebastian
dc.contributor.committeeMemberFink, Rainer
dc.type.genreElectronic Thesisen
dc.type.materialtexten


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