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dc.contributor.authorge, yang
dc.date.accessioned2020-12-16T13:10:08Z
dc.date.available2020-12-16T13:10:08Z
dc.date.issued2020-12-16T13:10:08Z
dc.identifier.urihttp://hdl.handle.net/10222/80106
dc.description.abstractIn this thesis, a high-speed RF envelop detector (ED) and a blind background calibration of super-regeneration receiver (SRR) are presented. The proposed ED uses a dynamic load (DL) technique with class-AB architecture to achieve high speed by adjusting the output impedance adaptively. To improve linearity and the key specifications of ED, a derivative superposition (DS) technique is employed. A bulk-compensated technique is proposed to reduce process-voltage-temperature (PVT) variations in the proposed ED. The bulk-compensated technique constructs a ‘detecting-feedback’ loop and achieves effective compensation for PVT variations of MOS transistors through bulk potential modulation. The bulk-compensated class-AB inverter is implemented in 0.18 um CMOS process. Compared to uncompensated class-AB ED, the sensitivity of the proposed ED to process variation is greatly reduced under PVT variations. Also, a blind background calibration architecture is proposed and designed to help the SRR to maintain its high sensitivity and immunity to negative transconductance variations under process-voltage-temperature (PVT) variations. The simulation results successfully verify the reliability of the proposed calibration technique and result in significant improvements for SRR sensitivity under different process corners.en_US
dc.language.isoenen_US
dc.subjectsuper-regenerative receiveren_US
dc.titleDigital Calibration and High-Speed Envelope Detector for Super-Regenerative Receiveren_US
dc.typeThesisen_US
dc.date.defence2020-12-08
dc.contributor.departmentDepartment of Electrical & Computer Engineeringen_US
dc.contributor.degreeMaster of Applied Scienceen_US
dc.contributor.external-examinerWilliam Phillipsen_US
dc.contributor.graduate-coordinatorJacek Ilowen_US
dc.contributor.thesis-readerjason guen_US
dc.contributor.thesis-supervisorKamal El-Sankaryen_US
dc.contributor.ethics-approvalNot Applicableen_US
dc.contributor.manuscriptsNot Applicableen_US
dc.contributor.copyright-releaseNot Applicableen_US
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