Abstract
This paper presents a novel modelling method for planar defected ground structure (DGS) square open loop resonator filters. The increased complexity of the coupling mechanism between the resonators and the impossibility to analytically calculate the coupling coefficients created the need of accurate modelling of the coupled resonators. Design process requires to calculate the filter dimension for the given coupling coefficient. A novel method based on artificial neural networks (ANNs) is proposed in this paper. ANNs are used to develop the filter forward and inverse models aimed to calculate the spacing between the resonators for predetermined coupling coefficients from the approximation. An example filter is designed, simulated and measured. A very good agreement between the measurements and the filter requirements is observed.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
References
Hong, J., Lancaster, M.J.: Microstrip Filters for RF/Microwave Applications. Wiley, Hoboken (2001)
Carg, M.K.: A review of defected ground structures (DGS) in microwave design. Int. J. Innov. Res. Electr. Electron. Instrum. Control Eng. 2(3), 1285–1290 (2004)
Parui, S.K., Das, S.: A new defected ground structure for different microstrip circuit applications. Radioengineering 16(1), 16 (2007)
Vagner, K.: A novel bandpass filter using a combination of open-loop defected ground structure and half-wavelength microstrip resonators. Radioengineering 19(3), 392–396 (2010)
Zhang, Q.J., Gupta, K.C.: Neural Networks for RF and Microwave Design. Artech House, Boston (2000)
Christodoulou, C., Gerogiopoulos, M.: Applications of Neural Networks in Electromagnetics. Artech House, Inc., Norwood (2000)
Rayas-Sanchez, J.E.: EM-based optimization of microwave circuits using artificial neural networks: the state-of-the-art. IEEE Trans. Microw. Theory Tech. 52(1), 420–435 (2004)
Kabir, H., Zhang, L., Yu, M., Aaen, P., Wood, J., Zhang, Q.J.: Smart modelling of microwave devices. IEEE Microw. Mag. 11, 105–108 (2010)
Michalski, J.: Artificial neural networks approach in microwave filter tuning. Prog. Electromagn. Res. 13, 173–188 (2010)
Marinković, Z., Marković, V., Caddemi, A.: Artificial neural networks in small-signal and noise modelling of microwave transistors. In: Kwon, S.J. (ed.) Chapter 6 in Artificial Neural Networks, pp. 219–236. Nova Science Publishers Inc. (2011)
Agatonović, M., Stanković, Z., Doncov, N., Sit, L., Milovanović, B., Zwick, T.: Application of artificial neural networks for efficient high-resolution 2D DOA estimation. Radioengineering 21(4), 1178–1185 (2012)
Agatonović, M., Marinković, Z., Marković, V.: Application of ANNs in evaluation of microwave pyramidal absorber performance. Appl. Comput. Electromagn. Soc. J. 27(4), 326–333 (2012)
Marinković, Z., et al.: Neural approach for temperature-dependent modeling of GaN HEMTs. Int. J. Numer. Model. Electron. Netw. Devices Fields 28(4), 359–370 (2015)
Marinković, Z., Kim, T., Marković, V., Milijić, M., Pronić-Rančić, O., Vietzorreck, L.: Artificial Neural network based design of RF MEMS capacitive shunt switches. Appl. Comput. Electromagn. Soc. J. 31(7), 756–764 (2016)
Đorđević, V., Marinković, Z., Marković, V., Pronić-Rančić, O.: Extraction of microwave FET noise wave temperatures by using a novel neural approach. Int. J. Comput. Math. Electr. Electr. Eng. COMPEL 35(1), 339–349 (2016)
Nedelchev, M., Marinkovic, Zl., Kolev, Al.: ANN based design of planar filters using square open loop DGS resonators. In: ICEST 2018, Nis, Serbia, pp. 89–93 (2018)
Acknowledgment
Development of the neural model has been supported by the Serbian Ministry of Education, Science and Technological Development under the project TR 32025. The design procedure development, filter fabrication and measurements have been supported by the Ministry of Education, Republic of Bulgaria and Bulgarian National Science Fund under contract number DN 07/19/15.12.2016 “Methods of Estimation and Optimization of the Electromagnetic Radiation in Urban Areas”.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
About this paper
Cite this paper
Nedelchev, M., Marinkovic, Z., Kolev, A. (2019). ANN Modelling of Planar Filters Using Square Open Loop DGS Resonators. In: Poulkov, V. (eds) Future Access Enablers for Ubiquitous and Intelligent Infrastructures. FABULOUS 2019. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 283. Springer, Cham. https://doi.org/10.1007/978-3-030-23976-3_32
Download citation
DOI: https://doi.org/10.1007/978-3-030-23976-3_32
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-23975-6
Online ISBN: 978-3-030-23976-3
eBook Packages: Computer ScienceComputer Science (R0)