Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis

Conrad J, Kauffman J, Wilhelmstatter S, Asthana R, Belagiannis V, Ortmanns M (2024)

Publication Language: English

Publication Type: Conference contribution

Publication year: 2024

Publisher: Institute of Electrical and Electronics Engineers Inc.

Pages Range: 1-5

Conference Proceedings Title: 2024 22nd IEEE Interregional NEWCAS Conference (NEWCAS)

Event location: Sherbrooke, QC CA

ISBN: 79-8-3503-6176-6

DOI: 10.1109/NewCAS58973.2024.10666354

Abstract

While designing a comparator, simulation of input-referred noise is crucial. While periodic steady state analyses allow a fast simulation, they are cumbersome to set-up, not compatible with all kinds of circuit models, and require to know the noise-critical operating time within a period. On the contrary, the comparator can be analyzed in a noisy transient simulation with a small test-voltage applied. The noise and offset characteristics can then be derived from a number of simulated comparator decisions and a statistical model. This method is easy to set-up, but has two fundamental simulation parameters: the number of simulated comparator decisions and the magnitude of the applied test-voltage. In this work we derive the statistical confidence into the estimated input-referred noise and show how it depends on the two simulation parameters. It is then shown that this confidence also depends on the true (unknown) input-referred noise. To solve that issue, an algorithm for boosting the convergence is introduced. This algorithm iteratively simulates the comparator decisions and updates the test-voltage for granting a known confidence into the estimated input-referred noise. The algorithm implemented in Verilog-A is available under https://github.com/Joschua-Conrad/Transient-Simulation-of-Dynamic-Comparator-Noise.

Authors with CRIS profile

Rohan Asthana Professur für Maschinelles Lernen in der Signalverarbeitung Vasileios Belagiannis Professur für Maschinelles Lernen in der Signalverarbeitung

Involved external institutions

Universität Ulm DE Germany (DE)

How to cite

APA:

Conrad, J., Kauffman, J., Wilhelmstatter, S., Asthana, R., Belagiannis, V., & Ortmanns, M. (2024). Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis. In 2024 22nd IEEE Interregional NEWCAS Conference (NEWCAS) (pp. 1-5). Sherbrooke, QC, CA: Institute of Electrical and Electronics Engineers Inc..

MLA:

Conrad, Joschua, et al. "Confidence Estimation and Boosting for Dynamic-Comparator Transient-Noise Analysis." Proceedings of the 22nd IEEE Interregional NEWCAS Conference, NEWCAS 2024, Sherbrooke, QC Institute of Electrical and Electronics Engineers Inc., 2024. 1-5.

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