Non-Linearity Cancellation of Gm-C Based DSM

Continuous-time (CT) Delta-Sigma-Modulators (DSMs) are widely utilized in systems requiring wide bandwidth and high resolution. While opamp-based RC integrators are favoured for their excellent linearity, they introduce low-input impedance and complicate the ADC driver. On the other side, Gm-C integrators provide high input impedance, making them more power-efficient, but they suffer from non-linearity, thereby limiting the input range. This paper explores the limitations of a specific non-linearity cancellation technique applied in DSM system-level. The principles of this technique are reviewed, and the challenges of using it at low oversampling ratio (OSR) are investigated. A theoretical analysis is presented, matching with simulation results.

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Publication Details

Published
2025-05-25
DOI
https://doi.org/10.1109/iscas56072.2025.11044033
Primary Topic
Blind Source Separation Techniques
Type
article
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article

Non-Linearity Cancellation of Gm-C Based DSM

Maurits Ortmanns, John G. Kauffman, Francesco Conzatti, Bishoy M. Zaky
Blind Source Separation Techniques
article

Non-Linearity Cancellation of Gm-C Based DSM

Maurits Ortmanns, John G. Kauffman, Francesco Conzatti, Bishoy M. Zaky
article en

Abstract

Continuous-time (CT) Delta-Sigma-Modulators (DSMs) are widely utilized in systems requiring wide bandwidth and high resolution. While opamp-based RC integrators are favoured for their excellent linearity, they introduce low-input impedance and complicate the ADC driver. On the other side, Gm-C integrators provide high input impedance, making them more power-efficient, but they suffer from non-linearity, thereby limiting the input range. This paper explores the limitations of a specific non-linearity cancellation technique applied in DSM system-level. The principles of this technique are reviewed, and the challenges of using it at low oversampling ratio (OSR) are investigated. A theoretical analysis is presented, matching with simulation results.

Universität Ulm (DE), Infineon Technologies (Austria) (AT)
Openalex Percentile: Top 82%
Blind Source Separation Techniques
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