@inproceedings{79b81fe25afa492c869b0c7e11dfef4e,
title = "Ultra-Sensitive Differential Sensor for Liquid Dielectric Characterization Using 1-Bit Coding in DGS",
abstract = "This paper introduces a kind of microwave sensors to characterize dielectric liquid sample. To enhance sensitivity and reduce the disturb of environment, differential method is applied in sensor design. The sensor based on defected ground structure (DGS) is optimized by adaptive genetic algorithm, and the sensing performance is improved by magnifying resonant frequency differences and enhancing electric field energy. The optimized sensor has a relative sensitivity of 0.076\%, which is 1.52 times of the basic structure. The experimental results show that it is sensitive and has good robustness and quick response for liquid detection.",
keywords = "adaptive genetic algorithm, liquid characterization, microwave differential sensor",
author = "Cong Wang and Jie Weil and Li, \{Zhe Yi\} and Tang, \{Xiao Cong\} and Li, \{Jiao Yang\} and Yang Yi",
note = "Publisher Copyright: {\textcopyright} 2024 IEEE.; 2024 IEEE Sensors, SENSORS 2024 ; Conference date: 20-10-2024 Through 23-10-2024",
year = "2024",
doi = "10.1109/SENSORS60989.2024.10784545",
language = "英语",
series = "Proceedings of IEEE Sensors",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2024 IEEE Sensors, SENSORS 2024 - Conference Proceedings",
address = "美国",
}