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Analysis, Prediction and Mitigation of Nonlinearity-induced Spurs and Noise in Fractional-N Frequency Synthesizers
Author(s)
Date Issued
2022
Date Available
2025-11-06T16:29:53Z
Embargo end date
2027-08-05
Abstract
Fractional-N frequency synthesizers are commonly used in communication systems. A divider controller is employed within a conventional divider-based fractional-N frequency synthesizer to achieve the desired fractional division ratio. A MultistAge Noise SHaping (MASH) Digital Delta-Sigma Modulator (DDSM) is usually used as the divider controller because of its high-pass shaped quantization error and ease of implementation. Among contributors to the output phase noise of a conventional fractional-N frequency synthesizer, the noise of the divider controller is normally high-pass shaped and its in-band contribution can be ignored under the assumption of linearity. In the presence of nonlinearity, however, the phase noise contribution of the divider controller becomes prominent in-band, denoted folded noise, and spurious tones usually appear. The causes of divider controller-induced spurious tones in the long-term spectrum have been the focus of research for many years and efforts continue to be made to identify and mitigate nonlinearity-induced spurs in synthesizers. In this thesis, we analyze the generation of nonlinearity-induced folded noise in fractional-N frequency synthesizers with MASH-based divider controllers and an accurate prediction method is described. The phenomena of spur immunity and sub-fractional spurious tones, called "horn spurs", are analyzed in MASH modulators. A family of DDSMs is introduced that allows one to achieve enhanced performance in terms of nonlinearity-induced noise. The so-called ENOP DDSMs are provably spur free in the presence of static polynomial nonlinearities of a specified order. Moreover, another family of DDSMs is introduced whose quantization error is inherently immune from spurs when interacting with a static nonlinearity. The so-called INIS-DDSMs are suitable for digital to analog transduction, such as for DCO controllers.
Type of Material
Doctoral Thesis
Qualification Name
Doctor of Philosophy (Ph.D.)
Publisher
University College Dublin. School of Electrical and Electronic Engineering
Copyright (Published Version)
2022 the Author
Language
English
Status of Item
Peer reviewed
This item is made available under a Creative Commons License
File(s)
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Name
Mazzaro2022.pdf
Size
10.89 MB
Format
Adobe PDF
Checksum (MD5)
57270716dd1dcc6ac32ce09112fd9d1f
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