The DOI matches its Crossref record.
Noise modeling for RF CMOS circuit simulation
Abstract
The RF noise in 0.18-/spl mu/m CMOS technology has been measured and modeled. In contrast to some other groups, we find only a moderate enhancement of the drain current noise for short-channel MOSFETs. The gate current noise on the other hand is more significantly enhanced, which is explained by the effects of the gate resistance. The experimental results are modeled with a nonquasi-static RF model, based on channel segmentation, which is capable of predicting both drain and gate current noise accurately. Experimental evidence is shown for two additional noise mechanisms: 1) avalanche noise associated with the avalanche current from drain to bulk and 2) shot noise in the direct-tunneling gate leakage current. Additionally, we show low-frequency noise measurements, which strongly point toward an explanation of the 1/f noise based on carrier trapping, not only in n-channel MOSFETs, but also in p-channel MOSFETs.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
A Broadband Noise-Canceling CMOS LNA for 3.1–10.6-GHz UWB Receivers
Liao, C.-F., & Liu, S.-I. (2007) · IEEE Journal of Solid-State Circuits · doi:10.1109/jssc.2006.889356 · Cited by 373
Power-saving design opportunities for wireless intracortical brain–computer interfaces
Even-Chen, N., Muratore, D. G., Stavisky, S. D., Hochberg, L. R., Henderson, J. M., Murmann, B., & Shenoy, K. V. (2020) · Nature Biomedical Engineering · doi:10.1038/s41551-020-0595-9 · Cited by 118
Noise, Distortion and Mismatch
(2017) · Systematic Design of Analog CMOS Circuits · doi:10.1017/9781108125840.004 · Cited by 1
Metadata
- Authors
- Scholten, A. J., Tiemeijer, L. F., van Langevelde, R., Havens, R. J., Zegers-van Duijnhoven, A. T. A., & Venezia, V. C.
- Venue
- IEEE Transactions on Electron Devices
- Published
- 2003-03
- Volume
- 50
- Issue
- 3
- Pages
- 618-632
- ISSN
- 0018-9383 (ISSN-L)
- OpenAlex
- W2129712034
- Cited by
- 382
- References
- 0
- FWCI
- 36.87
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Noise modeling for RF CMOS circuit simulation. https://app.cochat.ai/papers/10.1109/ted.2003.810480
- The paper
- Scholten, A. J., Tiemeijer, L. F., van Langevelde, R., Havens, R. J., Zegers-van Duijnhoven, A. T. A., & Venezia, V. C. (2003). Noise modeling for RF CMOS circuit simulation. IEEE Transactions on Electron Devices. https://doi.org/10.1109/ted.2003.810480
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.