Hostname: page-component-8448b6f56d-t5pn6 Total loading time: 0 Render date: 2024-04-23T07:00:32.263Z Has data issue: false hasContentIssue false

Space mapping filter design and tuning techniques

Published online by Cambridge University Press:  25 October 2021

J. C. Melgarejo*
Affiliation:
Universitat Politècnica de València, Camino de Vera, Valencia, Spain
J. Ossorio
Affiliation:
Universitat Politècnica de València, Camino de Vera, Valencia, Spain
A. A. San-Blas
Affiliation:
Av. Universitat d'Elx, Elche, Spain
M. Guglielmi
Affiliation:
Universitat Politècnica de València, Camino de Vera, Valencia, Spain
V. E. Boria
Affiliation:
Universitat Politècnica de València, Camino de Vera, Valencia, Spain
*
Author for correspondence: Juan Carlos Melgarejo, E-mail: juameller@gmail.com

Abstract

A common strategy to reduce the cost of a filter is to use a manufacturing technique with an intermediate accuracy and use tuning elements to compensate for the manufacturing errors. However, including tuning elements in the final EM simulations, and tuning the filters after manufacturing, can be quite challenging. In this context, therefore, we review in this paper two powerful filter design procedures based on Aggressive Space Mapping (ASM), and two semi-automatic tuning techniques. As a validation, we describe in detail the design and tuning of two types of filters that are commonly used for both space and ground applications, namely, a six-pole inductive filter in rectangular waveguide, and a more complex five-pole filter based on dual-mode resonators.

Type
Tutorial and Review Paper
Copyright
Copyright © The Author(s), 2021. Published by Cambridge University Press in association with the European Microwave Association

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Strategic Research Agenda, European Space Technology Platform.Google Scholar
Snyder, RV (2007) Practical aspects of microwave filter development. IEEE Microwave Magazine, 8, 4254.CrossRefGoogle Scholar
Bandler, JW, Biernacki, RM, Chen, SH, Grobelny, PA and Hemmers, RH (1994) Space mapping technique for electromagnetic optimization. IEEE Transactions on Microwave Theory and Techniques, 42, 25362544.CrossRefGoogle Scholar
Bandler, JW, Biernacki, RM, Chen, SH, Hemmers, RH and Madsen, K (1995) Aggressive space mapping for electromagnetic design. IEEE MTT-S International Microwave Symposium, May, Orlando, FL, USA, IEEE, pp. 1455–1458.CrossRefGoogle Scholar
Bandler, JW, Biernacki, RM, Chen, SH, Hemmers, RH and Madsen, K (1995) Electromagnetic optimization exploiting aggressive space mapping. IEEE Transactions on Microwave Theory and Techniques, 43, 28742882.CrossRefGoogle Scholar
Diaz Caballero, E, Morro, J, Belenguer, A, Esteban, H and Boria, V (2013) CAD technique for designing H-plane waveguide filters considering rounded corners. IEEE MTT-S International Microwave Symposium Digest, Seattle, WA, USA, IEEE, pp. 1–3.CrossRefGoogle Scholar
Ismail, MA, Smith, D, Panariello, A, Wang, Y and Yu, M (2003) EM based design of large-scale dielectric resonator multiplexers by space mapping. IEEE MTT-S International Microwave Symposium Digest, Philadelphia, PA, USA, IEEE, pp. 291–294.CrossRefGoogle Scholar
Brumos, M, Boria, VE, Guglielmi, M and Cogollos, S (2014) Correction of manufacturing deviations in circular-waveguide dual-mode filters using aggressive space mapping. 44th European Microwave Conference, pp. 624–627, EuMA, Rome, Italy.CrossRefGoogle Scholar
Rayas-Sanchez, JE (2016) Power in simplicity with ASM: tracing the aggressive space mapping algorithm over two decades of development and engineering applications. IEEE Microwave Magazine, 17, 6476.CrossRefGoogle Scholar
Ossorio, J, Vague, J, Boria, VE and Guglielmi, M (2017) Efficient implementation of the aggressive space mapping technique for microwave filter design. 47th European Microwave Conference, Nuremberg, Germany, EuMA, pp. 644–647.CrossRefGoogle Scholar
Ossorio, J, Melgarejo, JC, Boria, VE, Guglielmi, M and Bandler, JW (2018) On the alignment of low-fidelity and high- fidelity simulation spaces for the design of microwave waveguide filters. IEEE Transactions on Microwave Theory and Techniques, 66, 51835196.CrossRefGoogle Scholar
Melgarejo, JC, Guglielmi, M, Cogollos, S and Boria, VE (2021) An efficient microwave filter design procedure based on space mapping. 2020 50th European Microwave Conference, Jaarbeurs Utrecht, The Netherlands, EuMA, pp. 743–746.CrossRefGoogle Scholar
Koziel, S, Cheng, QS and Zhang, Q (2016) On low-cost space mapping optimization of antenna structures. 2016 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, San Francisco, CA, USA, IEEE, pp. 1–2.CrossRefGoogle Scholar
Cheng, QS, Bandler, JW and Koziel, S (2015) A review of implicit space mapping optimization and modeling techniques. 2015 IEEE MTT-S International Conference on Numerical Electromagnetic and Multiphysics Modeling and Optimization, Phoenix, AZ, USA, IEEE, pp. 1–3.CrossRefGoogle Scholar
Koziel, S (2017) Space mapping: performance, reliability, open problems and perspectives. 2017 IEEE MTT-S International Microwave Symposium Digest, Honolulu, HI, USA, IEEE, pp. 1512–1514.CrossRefGoogle Scholar
Miraftab, V and Mansour, RR (2006) Automated microwave filter tuning by extracting human experience in terms of linguistic rules using fuzzy controllers. IEEE MTT-S International Microwave Symposium Digest, San Francisco, CA, USA, IEEE, pp. 1439–1442.CrossRefGoogle Scholar
Mirzai, AR, Cowan, CFN and Crawford, TM (1989) Intelligent alignment of waveguide filters using a machine learning approach. IEEE Transactions on Microwave Theory and Techniques, 37, 166173.CrossRefGoogle Scholar
Zhou, J and Huang, J (2013) Intelligent tuning for microwave filters based on multi-kernel machine learning model. 5th IEEE International Symposium on Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, Chengdu, China, IEEE, pp. 259–266.CrossRefGoogle Scholar
Melgarejo, JC, Guglielmi, M, Cogollos, S and Boria, VE (2019) Space mapping for tuning microwave waveguide filters. IEEE MTT-S International Microwave Symposium (IMS), Boston, MA, IEEE, pp. 353–356.CrossRefGoogle Scholar
Melgarejo, JC, Ossorio, J, Cogollos, S, Guglielmi, M, Boria, VE and Bandler, JW (2019) On space mapping techniques for microwave filter tuning. IEEE Transactions on Microwave Theory and Techniques, 67, 48604870.CrossRefGoogle Scholar
Guglielmi, M and Melcon, AA (1993) Novel design procedure for microwave filters. 1993 23rd European Microwave Conference, September, Madrid, Spain, EuMA, pp. 212–213.CrossRefGoogle Scholar
San-Blas, ÁA, Guglielmi, M, Melgarejo, JC, Coves, Á and Boria, VE (2020) Design procedure for bandpass filters based on integrated coaxial and rectangular waveguide resonators. IEEE Transactions on Microwave Theory and Techniques, 68, 43904404.CrossRefGoogle Scholar
Arcioni, P, Bozzi, M, Bressan, M, Conciauro, G and Perregrini, L (2002) Frequency/time-domain modeling of 3D waveguide structures by a BI-RME approach. International Journal of Numerical Modelling, 15, 321.CrossRefGoogle Scholar
Lindner, A and Biebl, E (2006) A manual tuning method for coupled cavity filters. 36th European Microwave Conference, Manchester, UK, EuMA, pp. 1340–1342.CrossRefGoogle Scholar