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-Reference-Cited by-同舟云学术

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

Published:2020-10-23 Issue:1 Volume:27 Page:663-676
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Yahya Salah I.^ORCID,Rezaei Abbas^ORCID,Nouri Leila^ORCID

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

http://link.springer.com/content/pdf/10.1007/s11276-020-02478-x.pdf

Reference31 articles.

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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.

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.

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.

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.

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