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Title: A quiescent 407-nA output-capacitorless low-dropout regulator with 0-100-mA load current range
Authors: Jiang, Yushan
Wang, Dong
Chan, Pak Kwong
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Jiang, Y., Wang, D. & Chan, P. K. (2019). A quiescent 407-nA output-capacitorless low-dropout regulator with 0-100-mA load current range. IEEE Transactions On Very Large Scale Integration (VLSI) Systems, 27(5), 1093-1104.
Journal: IEEE Transactions on Very Large Scale Integration (VLSI) Systems
Abstract: An ultralow quiescent current output-capacitorless low-dropout (LDO) regulator dedicated to Internet-of-Things applications is presented. This is based on an improved adaptive-stage adaptively biased architecture together with the novel frequency compensation to achieve the good stability and fast transient response under ultralow bias current. Validated by the CMOS 0.18-\mu \text{m} technology, the chip area is 0.055 mm². The proposed LDO regulator consumes only 407-nA quiescent current at no-load current while providing a 1-V output with a maximum load current of 100 mA from a 1.2-V power supply. The adaptive frequency compensation is presented, including a new transistor degeneration frequency compensation (TDFC) to sustain the stability at ultralow quiescent bias. Besides, it also includes Q-reduction and Miller-RC compensation schemes to ensure the stability for full load current range. In addition, a substantial improved transient response is obtained by the proposed distributed overshoot reduction circuit together with the TDFC scheme and the adaptively feed-forward biasing topology. The measured results have shown that the undershoot/overshoot voltage is 117 mV/35.33 mV and the output can settle in 1.56~\mu \text{s} with 1% accuracy. Compared to fixed-biased and adaptively biased architectures, it shows the lowest value in figure of merit (FOM) at the quiescent state. Compared to adaptively biased architectures, it shows the improved FOM at the maximum quiescent state.
ISSN: 1063-8210
DOI: 10.1109/TVLSI.2018.2890698
Rights: © 2019 IEEE. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:EEE Journal Articles

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