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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Based on the SMIC 0.13 um CMOS technology, this paper uses a 0.8 V supply voltage to design a low-voltage, ultra-low-power, high-gain, two-stage, fully differential operational amplifier. Through the simulation analysis, when the supply voltage is 0.8 V, the design circuit meets the ultra-low power consumption and also has the characteristic of high gain. The five-tube, fully differential, and common-source amplifier circuits provide the operational amplifier with high gain and large swing. Unlike the traditional common-mode feedback, this paper uses the output of the common-mode feedback as the bias voltage of the five-tube operational transconductance amplifier load, which reduces the design cost of the circuit; the structure involves self-cascoding composite MOS, which makes the common-mode feedback loop more sensitive. The frequency compensation circuit adopts Miller compensation technology with zero-pole separation, which increases the stability of the circuit. The input of the circuit uses the current mirror. A small reference current is chosen to reduce power consumption. A detailed performance simulation analysis of this operational amplifier circuit is carried out on the Cadence spectre platform. The open-loop gain of this operational amplifier is 74.1 dB, the phase margin is 61°, the output swing is 0.7 V, the common-mode rejection ratio is 109 dB, and the static power consumption is only 11.2 uW.

Details

Title
A Low-Voltage, Ultra-Low-Power, High-Gain Operational Amplifier Design for Portable Wearable Devices
Author
Bai, Na 1 ; Li, Xiaolong 2   VIAFID ORCID Logo  ; Xu, Yaohua 3   VIAFID ORCID Logo 

 Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, China; [email protected]; School of Integrated Circuits, Anhui University, Hefei 230601, China; [email protected] 
 School of Integrated Circuits, Anhui University, Hefei 230601, China; [email protected] 
 Key Laboratory of Intelligent Computing & Signal Processing, Ministry of Education, Anhui University, Hefei 230601, China; [email protected]; School of Integrated Circuits, Anhui University, Hefei 230601, China; [email protected]; Engineering Technology Research Center of Internet of Things Spectrum Sensing and Testing, Hefei 230601, China 
First page
74
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
20799292
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2618209228
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.