A Nanowatt Temperature-Independent Tunable Active Capacitance Multiplier with DC Compensation in DC Compensation in 0.13−μm CMOS

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A Nanowatt Temperature-Independent Tunable Active Capacitance Multiplier with DC Compensation in DC Compensation in 0.13−μm CMOS
Title:
A Nanowatt Temperature-Independent Tunable Active Capacitance Multiplier with DC Compensation in DC Compensation in 0.13−μm CMOS
Journal Title:
2023 IEEE International Symposium on Circuits and Systems (ISCAS)
Keywords:
Publication Date:
21 July 2023
Citation:
Zhang, Z., Zhang, T., Shen, C., Goh, W. L., & Gao, Y. (2023, May 21). A Nanowatt Temperature-Independent Tunable Active Capacitance Multiplier with DC Compensation in DC Compensation in 0.13−μm CMOS. 2023 IEEE International Symposium on Circuits and Systems (ISCAS). https://doi.org/10.1109/iscas46773.2023.10181779
Abstract:
This paper presents a nanowatt active capacitance multiplier (ACM) with enhanced tunable capacitance multiplication factor and temperature-independent current control for Artificial Internet of Things (AIoT) sensor applications. The proposed circuit is based on second-generation voltage conveyor (VCII) topology and biased in subthreshold region for high energy efficiency. An improved stacked translinear loop is designed to achieve temperature-independent bias with reduced power consumption. A DC compensation circuit is incorporated to compensate the output DC offset due to active bias circuit current, so that ACM can directly interface with other ultra-low power circuits. The proposed circuit is implemented in a standard 0.13−μm CMOS process. Simulation results show that the 3-dB bandwidth is from 0.04 Hz to 8 kHz and the multiply factor can be tuned from 337 to 561 with power consumption in the range of 41.6 nW to 46.4 nW. The achieved figure-of-merits (FoMs) is compared favorably with the other state-of-the-arts.
License type:
Publisher Copyright
Funding Info:
This research / project is supported by the A*STAR - Nanosystems at the Edge (WP03)
Grant Reference no. : A18A1b0055
Description:
© 2023 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
ISSN:
2158-1525
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