Vol. 104

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2022-05-12

Hexagon Shape SIW Bandpass Filter with CSRRs Using Artificial Neural Networks Optimization

By Ranjit Kumar Rayala and Singaravelu Raghavan
Progress In Electromagnetics Research Letters, Vol. 104, 47-55, 2022
doi:10.2528/PIERL22031901

Abstract

A dual-band hexagon shape substrate integrated waveguide (SIW) based band pass filter with single loop complementary spilt ring resonators (CSRRs) is introduced in this paper. The design parameters of this filter are optimized by using artificial neural networks (ANNs). Especially error back propagation multilayer perceptron (EBP-MLP) neural network with Levenberg-Marquart (LM) algorithm is used. A physical prototype of the proposed model is fabricated and tested. In the lower passband from 10.2 to 10.6 GHz, the insertion loss is about -0.8 dB with a fractional bandwidth of 3.85%, and in the upper passband from 12.11 to 13.31 GHz, the insertion loss is about -0.8 dB with a fractional bandwidth of 9.56%. It is observed that the insertion loss is same in both the passbands. The obtained experimental results are in good agreement with the estimated results using full-wave analysis and ANN optimization.

Citation


Ranjit Kumar Rayala and Singaravelu Raghavan, "Hexagon Shape SIW Bandpass Filter with CSRRs Using Artificial Neural Networks Optimization," Progress In Electromagnetics Research Letters, Vol. 104, 47-55, 2022.
doi:10.2528/PIERL22031901
http://www.jpier.org/PIERL/pier.php?paper=22031901

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