微波谐振式传感器研究进展

A Review on Microwave Resonant Sensors

微波谐振式传感器具有低成本、高灵敏度、实时、无损检测等特点,在生物、医疗、环境等领域都有着广阔的应用前景.一般来说,微波谐振式传感器通过传输线激励谐振单元,通过谐振频率偏移等特征变化获得待测量.本文对微波谐振式传感器现有研究成果进行了详细的综述.首先简要介绍了微波谐振式传感器分类、基本工作原理及关键性能指标,其次以位移传感器、介质传感器及液体传感器这3种类型总结当前微波谐振式传感器国内外研究进展,之后着重探讨了群智能算法、机器学习等优化算法在微波谐振式传感器优化设计方面的应用,最后展望了微波谐振式传感器的发展前景以及存在的挑战.

Microwave resonant sensors have the characteristics of low-cost,high-sensitivity,real-time and non-de⁃structive detection.They have broad application prospects in various fields including biological,medical,and environmen⁃tal.Generally speaking,microwave resonant sensor is composed of a resonant unit excited by transmission line.The quanti⁃ty to be measured is obtained by the characteristic changes such as shift in resonant frequency.In this paper,the existing re⁃search of microwave resonant sensors are reviewed in detail.Firstly,the classification,basic operating principle,and key performance indicators of microwave resonant sensors are briefly introduced.Secondly,the current domestic and abroad re⁃search progresses of microwave resonant sensors are summarized in three types of sensors,i.e.,displacement sensors,dielec⁃tric sensors,and liquid sensors.Then,the applications of optimization algorithms such as swarm intelligence algorithms and machine learning on the optimal design of microwave resonant sensors are emphatically explored.Finally,the future devel⁃opment prospects and existing challenges of microwave resonant sensors are discussed.