What PNN Says About Spur Rolloff Rates in MASH-Based CP-PLLs With Polynomial Distortion

Interaction between the quantization error that the multi-stage noise shaping (MASH) digital ∆Σ modulator (DDSM) introduces into the system and nonlinear distortion in the loop generates fractional spurs. The Periodic Nonlinearity Noise (PNN) concept can be used to predict the locations and amplitudes of fractional spurs. This paper presents additional insight offered by PNN relating to the impact of the order of the MASH and the order of the polynomial distortion on the rolloff rate of the integer boundary spur (IBS) family.

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Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11043725
Primary Topic
Electromagnetic Compatibility and Noise Suppression
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article
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article

What PNN Says About Spur Rolloff Rates in MASH-Based CP-PLLs With Polynomial Distortion

Michael Peter Kennedy, Lu Xu
Electromagnetic Compatibility and Noise Suppression
article

What PNN Says About Spur Rolloff Rates in MASH-Based CP-PLLs With Polynomial Distortion

Michael Peter Kennedy, Lu Xu
article en

Abstract

Interaction between the quantization error that the multi-stage noise shaping (MASH) digital ∆Σ modulator (DDSM) introduces into the system and nonlinear distortion in the loop generates fractional spurs. The Periodic Nonlinearity Noise (PNN) concept can be used to predict the locations and amplitudes of fractional spurs. This paper presents additional insight offered by PNN relating to the impact of the order of the MASH and the order of the polynomial distortion on the rolloff rate of the integer boundary spur (IBS) family.

University College Dublin (IE)
Openalex Percentile: Top 87%
Electromagnetic Compatibility and Noise Suppression
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What PNN Says About Spur Rolloff Rates in MASH-Based CP-PLLs With Polynomial Distortion — Michael Peter Kennedy, Lu Xu · (2025) | TGRS Research Map | TGRS