Open AccessDesigning preamplifier for sensing atmospheric electrostatic field strength via supercapacitive sensor
Author(s) -
Changhao Wu,
Yi Xiong,
Wei Zeng
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1607/1/012084
Subject(s) - preamplifier , noise (video) , signal (programming language) , capacitance , electronic engineering , interference (communication) , amplifier , low noise amplifier , electrical engineering , materials science , computer science , physics , engineering , cmos , electrode , channel (broadcasting) , quantum mechanics , artificial intelligence , image (mathematics) , programming language
In order to effectively obtain the signal from sensor, the analogy signal needs to be amplified and then converted into a digital signal for matching to the sensor characteristics. With a supercapacitive electric field sensor based on graphene aerogel, the response current signal from the electric field sensor is weak and unstable. Herein, a high gain and low noise preamplifier is developed, and an amplifier circuit with double T-type feedback network is proposed to reduce the Johnson noise for the amplifier. This design can reduce the thermal noise of resistance by using the smaller resistance under the same gain, and it can effectively reduce the interference of peak noise by adding the feedback capacitance, so as to improve the detection accuracy. The simulation results show that under the same gain condition, the Johnson noise can be reduced by 46% and the detection accuracy can be improved by 12% compared with the traditional T-type feedback network.