Print Email Facebook Twitter A 10-bit Digital to Time Converter with a Phase Noise Filter Title A 10-bit Digital to Time Converter with a Phase Noise Filter Author Wang, Tianyu (TU Delft Electrical Engineering, Mathematics and Computer Science) Contributor Du, S. (mentor) Alavi, S.M. (graduation committee) Degree granting institution Delft University of Technology Programme Electrical Engineering Date 2023-08-31 Abstract The growing demand for asynchronous data communication leads to a growing demand for CDR systems to recover the sampling clock of the received data. The DTC in the CDR system is the main jitter source of the recovered data. A low-jitter DTC is required to generate data of low-jitter performance, calling for the application of a phase noise filter. Currently, most phase noise filters are based on the charge injection technique, which can only filter the phase noise of the DLL-based DTC.This thesis presents a new phase noise filter, which can filter both the DLL and PI phase noise. The proposed phase noise filter is inspired by the noise transfer function from the phase detector’s input to the delay locked loop(DLL) output of a type-II DLL, which shows a first-order low-pass transfer function. The noise suppression pole frequency is adjustable and can be modified by changing thegain of each component in the circuit. In addition, by carefully placing the frequency of the LDO’s pole, second-order noise filtering can be realized.During design, a 10-bit DTC is constructed first and the proposed filter is placed behind the DTC to verify the effectiveness of the filter. The design achieves the post-layout level. The simulation results show that the DTC’s phase noise drops from 1.099 psrms to 315.9 fsrms with the filter. The area is 695 μm × 693.5 μm. The design consumes 42.3 mW with 1.8V supply in 180nm BCD technology. Subject DTCPhase noise filterDLLPI To reference this document use: http://resolver.tudelft.nl/uuid:0f46ab2d-8d5d-4766-bd70-a63581007cd0 Part of collection Student theses Document type master thesis Rights © 2023 Tianyu Wang Files PDF MSc_Thesis_Tianyu_Wang.pdf 3.31 MB Close viewer /islandora/object/uuid:0f46ab2d-8d5d-4766-bd70-a63581007cd0/datastream/OBJ/view