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Cited by 478

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Device mismatch and tradeoffs in the design of analog circuits

Kinget, P.R.·2005·IEEE Journal of Solid-State Circuits

Abstract

Random device mismatch plays an important role in the design of accurate analog circuits. Models for the matching of MOS and bipolar devices from open literature show that matching improves with increasing device area. As a result, accuracy requirements impose a minimal device area and this paper explores the impact of this constraint on the performance of general analog circuits. It results in a fixed bandwidth-accuracy-power tradeoff which is set by technology constants. This tradeoff is independent of bias point for bipolar circuits whereas for MOS circuits some bias point optimizations are possible. The performance limitations imposed by matching are compared to the limits imposed by thermal noise. For MOS circuits the power constraints due to matching are several orders of magnitude higher than for thermal noise. For the bipolar case the constraints due to noise and matching are of comparable order of magnitude. The impact of technology scaling on the conclusions of this work are briefly explored.

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Metadata

Authors
Kinget, P. R.
Venue
IEEE Journal of Solid-State Circuits
Published
2005-06
Volume
40
Issue
6
Pages
1212-1224
ISSN
0018-9200 (ISSN-L)
OpenAlex
W2140281076
Cited by
478
References
11
FWCI
20.24
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Device mismatch and tradeoffs in the design of analog circuits. https://app.cochat.ai/papers/10.1109/jssc.2005.848021
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Kinget, P. R. (2005). Device mismatch and tradeoffs in the design of analog circuits. IEEE Journal of Solid-State Circuits. https://doi.org/10.1109/jssc.2005.848021

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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.