Design Investigation of an X-Band SIW H-Plane Band Pass Filter with Improved Stop Band Using Neural Network Optimization

Authors

  • Zahra S. Tabatabaeian Department of Electrical Engineering Ferdowsi University of Mashhad, 91779-48974, Mashhad, Iran
  • Mohammad H. Neshati Department of Electrical Engineering Ferdowsi University of Mashhad, 91779-48974, Mashhad, Iran

Keywords:

Band pass filter, neural network, Substrate Integrated Waveguide (SIW)

Abstract

In this paper, an X-band H-plane band pass filter based on substrate integrated waveguide (SIW) technology is introduced. Back propagation neural network (BPNN) method is applied to optimize parameters of the proposed filter. The stop band of the proposed filter is improved by cascading the H-plane filter with a low pass filter designed and implemented using defected ground structure (DGS). A prototype of the proposed filter is made and experimental results are presented and also compared with those obtained by simulation. Measured reflection coefficient and transmission coefficient in pass band are better than -20 dB and -3.7 dB respectively. Measured results agree well with those obtained by simulation.

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References

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Published

2021-08-22

How to Cite

[1]
Z. S. . Tabatabaeian and M. H. . Neshati, “Design Investigation of an X-Band SIW H-Plane Band Pass Filter with Improved Stop Band Using Neural Network Optimization”, ACES Journal, vol. 30, no. 10, pp. 1083–1088, Aug. 2021.

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General Submission