Journal of Computational Electronics

, Volume 18, Issue 4, pp 1342–1346 | Cite as

Attenuation constant and characteristic impedance calculation of top metal-covered CPW transmission line using neural networks

  • Amit Kumar SahuEmail author
  • Dhruba Charan Panda
  • Nihar Kanta Sahoo


A technique for calculating the characteristic impedance of top metal-covered coplanar waveguide (TCPW) transmission lines using a neural network is presented in this paper. Additionally, the technique is extended to calculate their attenuation constant. Analytical expressions based on conformal mapping techniques are not applicable when the top cover height is < 3 µm. Further, there are no analytical expressions available to calculate their attenuation constant. We used a feed-forward artificial neural network to calculate the characteristic impedance and attenuation constant of TCPWs. The results are compared with those obtained using ANSYS HFSS full-wave simulation software, which shows good agreement. This technique will be useful for equivalent circuit modeling of RF-MEMS.


Attenuation constant Characteristic impedance FF-ANN TCPW 



The authors would like to acknowledge the financial support received from the Council of Scientific and Industrial Research, Govt. of India (File No. 09/297(0077)/2017-EMR-I, dated: 09/08/2018).

Compliance with ethical standards

Conflict of interest

The authors declare that there is no conflict of interest regarding the publication of this paper.


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Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.Department of Electronic ScienceBerhampur UniversityBerhampurIndia

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