School of Astronautics, Harbin Institute of Technology, Harbin 150006, China.
School of Electronics and Information Engineering, Harbin Institute of Technology, Harbin 150006, China.
Sensors (Basel). 2022 Dec 29;23(1):372. doi: 10.3390/s23010372.
This paper presents two devices to detect the liquid dielectric characterization. The differential method was used to enhance the robustness and reduce tolerance. A basic sensor based on defected ground structure (DGS) was designed and the optimization for the squares of the DGS via adaptive genetic algorithm was applied to enhance the performance of the microwave sensor, which was shown by the difference of the two resonant frequencies. Furthermore, the electric field distribution was enhanced. Glass microcapillary tubes were used to hold samples to provide an environment of non-invasive. The optimized device exhibited the sensitivity of 0.076, which is more than 1.52 times than the basic structure. It could be considered a sensitive and robust sensor with quick response time for liquid dielectric characterization.
本文提出了两种用于检测液体电介质特性的装置。采用差分方法提高了鲁棒性和降低了容差。设计了一种基于缺陷地结构(DGS)的基本传感器,并通过自适应遗传算法对 DGS 的平方进行了优化,以增强微波传感器的性能,这可以通过两个谐振频率的差异来体现。此外,还增强了电场分布。玻璃微毛细管用于容纳样品,提供非侵入式环境。优化后的器件的灵敏度为 0.076,比基本结构高出 1.52 倍以上。它可以被认为是一种具有快速响应时间的灵敏且稳健的液体电介质特性传感器。