TY - GEN
T1 - Energy harvesting via analog-to-digital conversion
AU - Jain, Neha
AU - Shlezinger, Nir
AU - Eldar, Yonina C.
AU - Gupta, Anubha
AU - Bohara, Vivek Ashok
N1 - Publisher Copyright:
© 2021 European Signal Processing Conference, EUSIPCO. All rights reserved.
PY - 2021/1/24
Y1 - 2021/1/24
N2 - Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. A common ADC architecture is based on sample-and-hold (S/H) circuits, where the acquired signal is observed in repeated intervals of fixed duration, referred to as the sampling time, and is not utilized for the entire duration. In this paper, we extend the structure of S/H ADCs, allowing them to harvest energy from the observed signal by modifying the circuitry during hold time of the sampling process of an ADC. This harvested energy can be used to supplement the ADC itself, paving the way to the possibility of zero power and power saving ADCs. We analyze the tradeoff between the ability to accurately recover the sampled signal and the energy harvesting which arises from the proposed ADC architecture, and provide guidelines to setting the sampling rate in light of accuracy and energy constraints. Our numerical evaluations indicate that energy harvesting ADCs operating with up to 16 bits per sample can acquire analog signals such that they can be recovered with minimal errors without requiring power from the external source.
AB - Analog-to-digital converters (ADCs) allow physical signals to be processed using digital hardware. A common ADC architecture is based on sample-and-hold (S/H) circuits, where the acquired signal is observed in repeated intervals of fixed duration, referred to as the sampling time, and is not utilized for the entire duration. In this paper, we extend the structure of S/H ADCs, allowing them to harvest energy from the observed signal by modifying the circuitry during hold time of the sampling process of an ADC. This harvested energy can be used to supplement the ADC itself, paving the way to the possibility of zero power and power saving ADCs. We analyze the tradeoff between the ability to accurately recover the sampled signal and the energy harvesting which arises from the proposed ADC architecture, and provide guidelines to setting the sampling rate in light of accuracy and energy constraints. Our numerical evaluations indicate that energy harvesting ADCs operating with up to 16 bits per sample can acquire analog signals such that they can be recovered with minimal errors without requiring power from the external source.
KW - Analog-to-digital conversion
KW - Energy harvesting
UR - http://www.scopus.com/inward/record.url?scp=85099318056&partnerID=8YFLogxK
U2 - 10.23919/Eusipco47968.2020.9287427
DO - 10.23919/Eusipco47968.2020.9287427
M3 - Conference contribution
AN - SCOPUS:85099318056
T3 - European Signal Processing Conference
SP - 2299
EP - 2303
BT - 28th European Signal Processing Conference, EUSIPCO 2020 - Proceedings
PB - European Signal Processing Conference, EUSIPCO
T2 - 28th European Signal Processing Conference, EUSIPCO 2020
Y2 - 24 August 2020 through 28 August 2020
ER -