Abstract | ||
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Analog-to-digital converters (ADC) are extensively used in wireless sensor networks and healthcare electronic devices to monitor long-term signal conditions. It is essential to prolong battery life in these applications by using an energy-efficient ADC. A successive-approximation register (SAR) architecture, mostly composed of digital circuits, can achieve low power under low supply voltages [1,2]. Power consumption can be decreased by using either an energy-efficient capacitive-DAC switching method [1] or a low-power comparator with a majority voting technique [2]. In this work, a small coarse ADC resolves the MSB bits. Then, a detect-and-skip algorithm and an aligned switching technique are used to reduce the big fine DAC switching energy. The comparator power is also decreased by utilizing a low-power comparator during coarse conversion and a low-noise comparator during fine conversion. As a result, its FoM performance is as low as 0.85fJ/conversion-step, which is about 3 times better than that of the state-of-the-art work [2]. |
Year | DOI | Venue |
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2014 | 10.1109/ISSCC.2014.6757397 | Solid-State Circuits Conference Digest of Technical Papers |
Keywords | DocType | ISSN |
cmos digital integrated circuits,analogue-digital conversion,comparators (circuits),digital-analogue conversion,low-power electronics,cmos,fom performance,aligned switching technique,analog-to-digital converters,battery life,detect-and-skip algorithm,digital circuits,energy-efficient adc,energy-efficient capacitive-dac switching method,healthcare electronic devices,long-term signal condition monitoring,low supply voltages,low-noise comparator,low-power comparator,majority voting technique,power consumption,size 40 nm,subranging sar adc,successive-approximation register architecture,wireless sensor networks,word length 10 bit,low power electronics | Conference | 0193-6530 |
Citations | PageRank | References |
44 | 3.37 | 5 |
Authors | ||
4 |
Name | Order | Citations | PageRank |
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Hung-Yen Tai | 1 | 61 | 8.18 |
Yao-Sheng Hu | 2 | 44 | 5.40 |
Hung-Wei Chen | 3 | 151 | 16.28 |
Hsin-shu Chen | 4 | 93 | 16.12 |