2019
DOI: 10.1002/mmce.22091
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A neuro‐based approach to designing a Wilkinson power divider

Abstract: In this paper, a new neuro-based approach using a feed-forward neural network is presented to design a Wilkinson power divider. The proposed power divider is composed of symmetrical modified T-shaped resonators, which are a replacement for quarter-wave transmission lines in the conventional structure.The proposed technique reduces the size of the power divider by 45% and suppresses unwanted bands up to the fifth harmonics. To verify the concept, a prototype of the power divider has been fabricated and tested, … Show more

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Cited by 64 publications
(46 citation statements)
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“…From the presented review, the design technique presented by Shen et al [47] can overcome these challenges by using only one single-layer half-mode substrate integrated waveguide resonator with four slots. As one of the microwave components, differential-fed microstrip BPFs can also be designed, analyzed, and optimized using artificial intelligence, neural networks, and bio-inspired optimization techniques [98,99]. These approaches can be utilized for future differential-fed microstrip BPF designs since these double-ended structures require more analysis and parameter studies than single-ended structures.…”
Section: Challenges Of Balanced Microstrip Bpfs and Future Developmentmentioning
confidence: 99%
“…From the presented review, the design technique presented by Shen et al [47] can overcome these challenges by using only one single-layer half-mode substrate integrated waveguide resonator with four slots. As one of the microwave components, differential-fed microstrip BPFs can also be designed, analyzed, and optimized using artificial intelligence, neural networks, and bio-inspired optimization techniques [98,99]. These approaches can be utilized for future differential-fed microstrip BPF designs since these double-ended structures require more analysis and parameter studies than single-ended structures.…”
Section: Challenges Of Balanced Microstrip Bpfs and Future Developmentmentioning
confidence: 99%
“…[23][24][25] After unremitting efforts, recently, the cosimulation method unlocked the potential of artificial intelligence in solving complex electromagnetics and microwave problems, which greatly improve the design efficiency and provide more possibility for antenna design. 26,27 In this article, the hat-fed was well designed by HFSS and MATLAB.…”
Section: Optimization By Adopting the Co-simulation Of Hfss-matlabmentioning
confidence: 99%
“…These topologies suppressed the unwanted bands up to the 3rd harmonics; however, the attenuation in the stopbands was suboptimal. In a different design technique, artificial-intelligence-based approaches, such as particle swarm optimization, neural networks and ant colony, have recently been used to design microstrip filters as well as other microwave and electromagnetic components [46][47][48][49][50][51][52][53]. A simple topology of a dual-band BPF using a hybrid structure was developed in [54], where the passbands could separately be shifted at a price of increased passband insertion loss.…”
Section: Introductionmentioning
confidence: 99%