2007 18th European Conference on Circuit Theory and Design 2007
DOI: 10.1109/ecctd.2007.4529547
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A nanopower double-mode 1-V frequency reference for an ultra-low-power capacitive sensor interface

Abstract: In this paper, a nanopower CMOS frequency reference designed with a 0.25-µm BiCMOS process for an ultralow-power capacitive sensor interface is presented. Due to the low supply voltage of 1 V, two parallel frequency references based on source-coupled CMOS multivibrators are used to implement the two required operating modes. In mode 1, when driving a 1 pF capacitive load at 24.6 kHz, the frequency reference consumes 210 nA. In mode 2, driving the same load at 307.2 kHz consumes 660 nA, respectively. Typical si… Show more

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Cited by 5 publications
(5 citation statements)
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“…There are three additional fine-tuning steps between all the measured values. Each curve has a total channel width value W of its own, which refers to the transistor matrices [13]. According In the 307.2-kHz mode the output buffer consumes almost one half of the total current, while in the 24.6-kHz mode the share of the buffer is roughly 10%.…”
Section: Resultsmentioning
confidence: 99%
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“…There are three additional fine-tuning steps between all the measured values. Each curve has a total channel width value W of its own, which refers to the transistor matrices [13]. According In the 307.2-kHz mode the output buffer consumes almost one half of the total current, while in the 24.6-kHz mode the share of the buffer is roughly 10%.…”
Section: Resultsmentioning
confidence: 99%
“…In a similar way to the ISF method, these simulators consider a LTV system to obtain the noise power spectral density. To the best of authors' knowledge, the circuits under consideration in this paper are the first multivibrators for which the ISF-based phase noise results have been published [11][12][13], and they are further expanded in this paper. At first glance the procedure of the ISF method seems to be time-consuming, but it can be automated to a great extent, for example by using a combination of EldoRF and Matlab, after which it is quite fast and convenient to use.…”
Section: Discussionmentioning
confidence: 97%
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