ANN based Design of Microstrip Square Open Loop Resonator Filters

Mitic, Milos; Nedelchev, Marin; Kolev, Alexander; Marinković, Zlatica

doi:10.1109/ectidamtncon48261.2020.9090763

Cited by 3 publications

(5 citation statements)

References 8 publications

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“…This is due to its small size of approximately 1/8 of a quarter-wavelength along each side of the square [ 1 ]. The popularity and versatility of the SOLR in filter design means that numerous researchers have used it in implementing their designed filtering components [ 2 , 3 , 4 , 5 , 6 , 7 , 8 , 9 , 10 , 11 , 12 ].…”

Section: Introductionmentioning

confidence: 99%

Application of Compact Folded-Arms Square Open-Loop Resonator to Bandpass Filter Design

Nwajana

Raymond²

2023

Micromachines

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Folded-arms square open-loop resonator (FASOLR) is a variant of the conventional microstrip square open-loop resonator (SOLR) that facilitates further device size miniaturization by having the two arms of the conventional SOLR folded inwards. This paper highlights the benefits of this brand of compact SOLR by implementing a five-pole Chebyshev bandpass filter (BPF) using compact FASOLR. The test BPF is presented, with centre frequency of 2.2 GHz, fractional bandwidth of 10%, passband ripple of 0.04321 dB, and return loss of 20 dB. The design is implemented on a Rogers RT/Duroid 6010LM substrate with a dielectric constant of 10.7 and thickness of 1.27 mm. The filter device is manufactured and characterised, with the experimentation results being used to justify the simulation results. The presented measurement and electromagnetic (EM) simulation results demonstrate a good match. The EM simulation responses achieve a minimum insertion loss of 0.8 dB and a very good channel return loss of 22.6 dB. The measurement results, on the other hand, show a minimum insertion loss of 0.9 dB and a return loss of better than 19.2 dB. The filter component has a footprint of 36.08 mm by 6.74 mm (that is, 0.26 λg x 0.05 λg), with λg indicating the guided wavelength for the 50 Ohm microstrip line impedance at the centre frequency of the proposed fifth-order bandpass filter.

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Section: Introductionmentioning

confidence: 99%

Application of Compact Folded-Arms Square Open-Loop Resonator to Bandpass Filter Design

Nwajana

Raymond²

2023

Micromachines

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“…To overcome time consuming EM simulations or complex optimization methods, new approaches based on application of artificial neural networks (ANNs) have been proposed to model the filter coupling properties on the filter resonator physical dimensions and/or the properties of the chosen dielectric material [5]- [6]. Moreover, the ANN based approach has been applied to perform inverse modeling of the filter.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, the ANN based approach has been applied to perform inverse modeling of the filter. Namely, the ANNs are used to determine the distance between the filter resonators for the given coupling properties [7]- [8] or resonator dimensions and the given coupling coefficient [5]- [6]. However, the developed models of the filter coupling properties shown in [5] are valid for only one considered dielectric material (i.e., for one specified value of the relative dielectric constant).…”

Section: Introductionmentioning

confidence: 99%

“…Namely, the ANNs are used to determine the distance between the filter resonators for the given coupling properties [7]- [8] or resonator dimensions and the given coupling coefficient [5]- [6]. However, the developed models of the filter coupling properties shown in [5] are valid for only one considered dielectric material (i.e., for one specified value of the relative dielectric constant). In other words, it means that for each dielectric material it is necessary to develop a new neural model.…”

Section: Introductionmentioning

confidence: 99%

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Prior knowledge based neural modeling of microstrip coupled resonator filters

et al. 2022

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The design of microstrip coupled resonator filters includes determination of the coupling coefficients between the filter resonator units. In this paper a novel modeling procedure exploiting prior knowledge neural approach is proposed as an efficient alternative to the standard electromagnetic (EM) simulations and to the neural models based purely on the artificial neural networks (ANNs). It has similar accuracy as the EM simulations and requires less training data and less time needed for the model development than the models based purely on ANNs.

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“…Different from the forward process, the inverse design can directly obtain the structural parameters from the design specifications without iterations or prior knowledge. [9][10][11][12] However, one type of EM response may correspond to many groups of filter structural parameters, 13 which makes it difficult for the algorithm to converge. Therefore, it easily falls into poor local optima, especially when the parameter space is very large.…”

Section: Introductionmentioning

confidence: 99%

End‐to‐end inverse modeling and optimization for filters based on artificial neural network

Huang

Liang

Guan

et al. 2022

Int J RF Mic Comp-Aid Eng

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In this letter, we propose an end-to-end inverse modeling and optimization method for microwave filter designs based on the data-augmentation learning strategy. Because of the non-uniqueness of solutions, it is difficult to achieve good convergence with artificial neural networks for inverse designs when the parameter space is very large. We prove that the accuracy of inverse predictions can be significantly improved using the network's self-generated data and the optimization can be greatly accelerated with the help of the inverse network. The predicted structural parameters can be used as initial values for optimization, which reduces the number of iterations and avoids falling into local optima. This method is applied to designs of fourth-order interdigital cavity filters. The measurement and simulation agree well.

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ANN based Design of Microstrip Square Open Loop Resonator Filters

Cited by 3 publications

References 8 publications

Application of Compact Folded-Arms Square Open-Loop Resonator to Bandpass Filter Design

Application of Compact Folded-Arms Square Open-Loop Resonator to Bandpass Filter Design

Prior knowledge based neural modeling of microstrip coupled resonator filters

End‐to‐end inverse modeling and optimization for filters based on artificial neural network

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