The use of artificial neural network to design and fabricate one of the most compact microstrip diplexers for broadband L-band and S-band wireless applications

Abstract

In this paper, a computational intelligence method based on artificial neural network (ANN) is used to design and fabricate a high-performance microstrip diplexer. For a novel basic bandpass filter we have developed an ANN model with S-parameters and group delay (GD) as the outputs and frequency, substrate type, substrate thickness and physical dimensions as the inputs. Using the multilayer perceptron neural network trained with back-propagation algorithm, a novel microstrip diplexer with a very small area of 0.004 λ2g is obtained. It has the insertion losses less than 0.1 dB and GDs less than 1 ns, which are the best values in comparison with the previously reported microstrip diplexers. The proposed diplexer operates at 1.4 GHz and 3 GHz for L-band and S-band wireless applications, respectively. It has two wide fractional bandwidths of 47% and 45% which make it appropriate for broadband applications. Moreover, the very low insertion losses of the presented diplexer make it suitable for energy harvesting applications. The designed diplexer can attenuate the 1st up to 7th harmonics, where several transmission zeros are obtained that improve the stopband features. To verify the design process, the ANN model and simulation results, the presented diplexer is fabricated and measured.

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References

  1. 1.

    Noori, L., & Rezaei, A. (2017). Design of a microstrip diplexer with a novel structure for WiMAX and Wireless applications. AEU-International Journal of Electronics and Communications, 77, 18–22. https://doi.org/10.1016/j.aeue.2017.04.019.

    Article  Google Scholar 

  2. 2.

    Rezaei, A., & Noori, L. (2018). Compact low-loss microstrip diplexer using novel engraved semi-patch cells for GSM and WLAN applications. AEU-International Journal of Electronics and Communications, 87, 158–163. https://doi.org/10.1016/j.aeue.2018.02.022.

    Article  Google Scholar 

  3. 3.

    Deng, H. W., Zhao, Y. J., Fu, Y., Ding, J., & Zhou, X. J. (2013). Compact and high isolation microstrip diplexer for broadband and WLAN applications. Progress in Electromagnetics Research, 133, 555–570. https://doi.org/10.2528/PIER12092303.

    Article  Google Scholar 

  4. 4.

    Feng, W., Gao, X., & Che, W. (2014). Microstrip diplexer for GSM and WLAN bands using common shorted stubs. IET Electronics Letters, 50, 1486–1488. https://doi.org/10.1049/el.2014.2500.

    Article  Google Scholar 

  5. 5.

    Bui, D. H. N., Vuong, T. P., Allard, B., Verdier, J., & Benech, P. (2017). Compact low-loss microstrip diplexer for RF energy harvesting. Electronic Letters, 53, 552–554. https://doi.org/10.1049/el.2017.0022.

    Article  Google Scholar 

  6. 6.

    Xiao, J.-K., Zhu, M., Li, Y., Tian, L., & Ma, J.-G. (2015). High selective microstrip bandpass filter and diplexer with mixed electromagnetic coupling. IEEE Microwave and Wireless Components Letters, 25, 781–783. https://doi.org/10.1109/LMWC.2015.2495194.

    Article  Google Scholar 

  7. 7.

    Yan, J.-M., Zhou, H.-Y., & Cao, L.-Z. (2016). Compact diplexer using microstrip half- and quarter-wavelength resonators. IET Electronics Letters, 52, 1613–1615. https://doi.org/10.1049/el.2016.2127.

    Article  Google Scholar 

  8. 8.

    Guan, X., Yang, F., Liu, H., & Zhu, L. (2014). Compact and high-isolation diplexer using dual-mode stub-loaded resonators. IEEE Microwave and Wireless Components Letters, 24(6), 385–387. https://doi.org/10.1109/LMWC.2014.2313591.

    Article  Google Scholar 

  9. 9.

    Guan, X., Yang, F., Liu, H., & Zhu, L. (2015). A novel planar diplexer using slot line-loaded microstrip ring resonator. IEEE Microwave and Wireless Components Letters, 5, 706–708. https://doi.org/10.1109/LMWC.2014.2313591.

    Article  Google Scholar 

  10. 10.

    Cheng, F., Lin, X., Song, K., Jiang, Y., & Fan, Y. (2013). Compact diplexer with high isolation using the dual-mode substrate integrated waveguide resonator. IEEE Microwave and Wireless Components Letters, 23, 459–461. https://doi.org/10.1109/LMWC.2013.2274036.

    Article  Google Scholar 

  11. 11.

    Feng, W., Zhang, Y., & Che, W. (2017). Tunable dual-band filter and diplexer based on folded open loop ring resonators. IEEE Transactions on Circuits and Systems, 64, 1047–1051. https://doi.org/10.1109/TCSII.2016.2634555.

    Article  Google Scholar 

  12. 12.

    Huang, F., Wang, J., Zhu, L., & Wu, W. (2016). Compact microstrip balun diplexer using stub-loaded dual-mode resonators. IET Electronic Letters, 52, 1994–1996. https://doi.org/10.1049/el.2016.3302.

    Article  Google Scholar 

  13. 13.

    Rezaei, A., & Noori, L. (2018). Novel compact microstrip diplexer for GSM applications. International Journal of Microwave and Wireless Technologies, 10, 313–317. https://doi.org/10.1017/S1759078718000168.

    Article  Google Scholar 

  14. 14.

    Yang, F., Guan, X., Zhu, L., & Liu, H. (2014). Compact microstrip diplexer for 4G wireless communication. Progress in Electromagnetics Research Symposium Proceedings, 25, 599–602.

    Google Scholar 

  15. 15.

    Wibisono, G., Firmansyah, T., & Syafraditya, T. (2016). Design of triple-band bandpass filter using cascade tri-section stepped impedance resonators. Journal of ICT Research and Applications, 10, 43–56. https://doi.org/10.5614/itbj.ict.res.appl.2016.10.1.4.

    Article  Google Scholar 

  16. 16.

    Lin, S.-C. (2011). Microstrip dual/quad-band filters with coupled lines and quasi-lumped impedance inverters based on parallel-path transmission. IEEE Transactions on Microwave Theory and Techniques, 59, 1937–1946. https://doi.org/10.1109/TMTT.2011.2142191.

    Article  Google Scholar 

  17. 17.

    Sarkar, P., Ghatak, R., & Poddar, D.-R. (2011). A dual-band bandpass filter using SIR suitable for WiMAX band. Proceeding of the International Conference on Information and Electronics Engineering IPCSIT, 6, 70–74.

    Google Scholar 

  18. 18.

    Liu, Y. (2010). A tri-band bandpass filter realized using tri-mode T-shape branches. Progress in Electromagnetics Research, 105, 425–444. https://doi.org/10.2528/pier10010902.

    Article  Google Scholar 

  19. 19.

    Guan, X., Liu, W., Ren, B., Liu, H., & Wen, P. (2019). A novel design method for high isolated microstrip diplexers without extra matching circuit. IEEE Access, 7, 119681–119688. https://doi.org/10.1109/ACCESS.2019.2936553.

    Article  Google Scholar 

  20. 20.

    Danaeian, M. (2019). Miniaturized half-mode substrate integrated waveguide diplexer based on SIR–CSRR unit-cell. Analog Integrated Circuits and Signal Processing. https://doi.org/10.1007/s10470-019-01528-5.

    Article  Google Scholar 

  21. 21.

    Roshani, S., & Roshani, S. (2019). Design of a very compact and sharp bandpass diplexer with bended lines for GSM and LTE applications. AEU-International Journal of Electronics and Communications, 99, 354–360. https://doi.org/10.1016/j.aeue.2018.12.014.

    Article  Google Scholar 

  22. 22.

    Zhou, J., Li, J.-L., Sun, C.-G., Li, H., & Gao, Sh-Sh. (2018). A novel microstrip diplexer based on coupled line. Electromagnetics, 38, 87–95. https://doi.org/10.1080/02726343.2018.1436668.

    Article  Google Scholar 

  23. 23.

    Kumar, A., & Upadhyay, D. (2019). A compact planar diplexer based on via-free CRLH TL for WiMAX and WLAN applications. International Journal of Microwave and Wireless Technologies, 11, 130–138. https://doi.org/10.1017/S1759078718001496.

    Article  Google Scholar 

  24. 24.

    Rezaei, A., Yahya, S. I., Noori, L., & Jamaluddin, M. H. (2019). Design of a novel wideband microstrip diplexer using artificial neural network. Analog Integrated Circuits and Signal Processing, 101, 57–66. https://doi.org/10.1007/s10470-019-01510-1.

    Article  Google Scholar 

  25. 25.

    Hagan, M., Demuth, H., & Beale, M. (1996). Neural network design. Boston: PWS Pub.

    Google Scholar 

  26. 26.

    Fierro, R., & Lewis, F. (1999). Multilayer feedforward networks as universal approximators. IEEE Systems, Man, and Cybernetics Society, 29, 649–654.

    Article  Google Scholar 

  27. 27.

    Moayedi, H., & Rezaei, A. (2019). An artificial neural network approach for under-reamed piles subjected to uplift forces in dry sand. Neural Computing and Applications, 31, 327–336. https://doi.org/10.1007/s00521-017-2990-z.

    Article  Google Scholar 

  28. 28.

    Chae, Y. T., Horesh, R., Hwang, Y., & Lee, Y. M. (2016). Artificial neural network model for forecasting sub-hourly electricity usage in commercial buildings. Energy and Buildings, 111, 184–194. https://doi.org/10.1016/j.enbuild.2015.11.045.

    Article  Google Scholar 

  29. 29.

    Rezaei, A., Yahya, S. I., & Jamaluddin, M. H. (2020). A novel microstrip diplexer with compact size and high isolation for GSM applications. AEU-International Journal of Electronics and Communications, 114, 153018. https://doi.org/10.1016/j.aeue.2019.153018.

    Article  Google Scholar 

  30. 30.

    Rezaei, A., Yahya, S. I., Noori, L., & Jamaluddin, M. H. (2019). Design and fabrication of a novel compact low-loss microstrip diplexer for WCDMA and WiMAX applications. Journal of Microwaves, Optoelectronics and Electromagnetic Applications, 18(4), 482–491.

    Article  Google Scholar 

  31. 31.

    Rezaei, A., & Noori, L. (2018). Miniaturized microstrip diplexer with high performance using a novel structure for wireless L-band applications. Wireless Networks. https://doi.org/10.1007/s11276-018-1870-5.

    Article  Google Scholar 

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Correspondence to Leila Nouri.

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Yahya, S.I., Rezaei, A. & Nouri, L. The use of artificial neural network to design and fabricate one of the most compact microstrip diplexers for broadband L-band and S-band wireless applications. Wireless Netw (2020). https://doi.org/10.1007/s11276-020-02478-x

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Keywords

  • Wireless
  • Artificial neural network
  • Diplexer
  • Microstrip
  • Multilayer perceptron