化工学报 ›› 2019, Vol. 70 ›› Issue (S1): 182-185.DOI: 10.11949/j.issn.0438-1157.20181379

• 能源和环境工程 • 上一篇    下一篇

基于SIW的介电系数宽带测量装置

陈虎1(),陈倩2(),刘长军2,黄卡玛2,龙卓2   

  1. 1. 成都航空职业技术学院信息工程学院,四川 成都 610100
    2. 四川大学电子信息学院,四川 成都 610064
  • 收稿日期:2018-11-20 修回日期:2019-01-14 出版日期:2019-03-31 发布日期:2019-03-31
  • 通讯作者: 陈倩
  • 作者简介:<named-content content-type="corresp-name">陈虎</named-content>(1973—),男,硕士研究生,副教授,<email>novman@163.com</email>|陈倩(1975—),女,博士,副教授,<email>chenqian@scu.edu.cn</email>
  • 基金资助:
    国家重点基础研究发展计划项目(2013CB328902)

Broadband permittivity measurement apparatus using substrate integrated waveguide structure

Hu CHEN1(),Qian CHEN2(),Changjun LIU2,Kama HUANG2,Zhuo LONG2   

  1. 1. College of Electronical and Information Engineering, Chengdu Aeronautic Polytechnic, Chengdu 610100,Sichuan, China
    2. School of Electronics and Information Engineering, Sichuan University, Chengdu 610064, Sichuan, China
  • Received:2018-11-20 Revised:2019-01-14 Online:2019-03-31 Published:2019-03-31
  • Contact: Qian CHEN

摘要:

自20世纪80年代以来, 微波能的应用几乎扩展到了化学、材料、医学等各个领域。而微波能的应用实际上都直接或间接地与物质的介电特性相关。通过了解物质介电特性,就能研究它们对于微波的吸收和反射情况。因此,微波能应用中的介电系数测量显得尤为重要。而传统的测量方法实现在线测量时有一定的局限性,针对上述问题设计了新型的测量装置,结合神经网络算法对物质的介电系数进行了仿真计算,得到了一些有参考价值的数据,这些工作将对微波能的应用提供帮助。

关键词: SIW, 测量, 介电系数, 神经网络, 模拟

Abstract:

The microwave energy has been applied to chemistry, materials, and medicine since 1980s. The application of microwave energy is related with permittivity of materials. If the permittivity of materials is known, the absorption and reflection on microwave energy can be obtained. Hence the measurement for permittivity in microwave power applications is very important. However, the traditional measurements have some limitations on realtime measurement. The measurement apparatus has been proposed and the permittivity of materials has been reconstructed by modern optimization algorithm (artificial neural network). The applications of microwave energy have been extended by the valuable data gained. The research work will contribute to application of microwave power.

Key words: substrate integrated waveguide, measurement, permittivity, neural network, simulation

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