Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/107380
Title: An ultra-low power CMOS image sensor with on-chip energy harvesting and power management capability
Authors: Cevik, Ismail
Huang, Xiwei
Yu, Hao
Yan, Mei
Ay, Suat U.
Keywords: DRNTU::Engineering::Computer science and engineering::Computing methodologies::Image processing and computer vision
Issue Date: 2015
Source: Cevik, I., Huang, X., Yu, H., Yan, M., & Ay, S. U. (2015). An ultra-low power CMOS image sensor with on-chip energy harvesting and power management capability. Sensors, 15(3), 5531-5554.
Series/Report no.: Sensors
Abstract: An ultra-low power CMOS image sensor with on-chip energy harvesting and power management capability is introduced in this paper. The photodiode pixel array can not only capture images but also harvest solar energy. As such, the CMOS image sensor chip is able to switch between imaging and harvesting modes towards self-power operation. Moreover, an on-chip maximum power point tracking (MPPT)-based power management system (PMS) is designed for the dual-mode image sensor to further improve the energy efficiency. A new isolated P-well energy harvesting and imaging (EHI) pixel with very high fill factor is introduced. Several ultra-low power design techniques such as reset and select boosting techniques have been utilized to maintain a wide pixel dynamic range. The chip was designed and fabricated in a 1.8 V, 1P6M 0.18 µm CMOS process. Total power consumption of the imager is 6.53 µW for a 96 × 96 pixel array with 1 V supply and 5 fps frame rate. Up to 30 μW of power could be generated by the new EHI pixels. The PMS is capable of providing 3× the power required during imaging mode with 50% efficiency allowing energy autonomous operation with a 72.5% duty cycle.
URI: https://hdl.handle.net/10356/107380
http://hdl.handle.net/10220/25567
ISSN: 1424-8220
DOI: 10.3390/s150305531
Schools: School of Electrical and Electronic Engineering 
Rights: © 2015 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 license (http://creativecommons.org/licenses/by/4.0/).
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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