Optimal Design of a Bandpass Cavity Filter with WR229 Input/Output by Integrating the Coupling Matrix Technique with the Trust-Region Framework

Hoang Anh Dang; Van son nguyen; Van Dung Tran; Xuan Loi Dai; Trong Nghia Hoang; Thi Hanh Quach; Phuong Nhung Do; Thi Phi Doan Nguyen

doi:10.59796/jcst.V14N3.2024.73

Authors

Hoang Anh Dang Faculty of Electrical and Electronic Engineering, Hanoi Open University (HOU), Hanoi, Vietnam
Van son nguyen Faculty of Electrical and Electronic Engineering, Hanoi Open University (HOU), Hanoi, Vietnam
Van Dung Tran Institute for Technology Development Media and Community Assistance (IMC), Hanoi, Vietnam
Xuan Loi Dai Military Institute of Science and Technology, Hanoi, Vietnam
Trong Nghia Hoang Institute for Technology Development Media and Community Assistance (IMC), Hanoi, Vietnam
Thi Hanh Quach Faculty of Electrical and Electronic Engineering, Hanoi Open University (HOU), Hanoi, Vietnam
Phuong Nhung Do Faculty of Electrical and Electronic Engineering, Hanoi Open University (HOU), Hanoi, Vietnam
Thi Phi Doan Nguyen Faculty of Electrical and Electronic Engineering, Hanoi Open University (HOU), Hanoi, Vietnam

DOI:

https://doi.org/10.59796/jcst.V14N3.2024.73

Keywords:

Bandpass Filter, Coupling Matrix, 5G, Optimization, Waveguide, Cavity Resonator

Abstract

This study introduces a bandpass waveguide cavity filter designed for the C-band, centered at 3925 MHz. The design employs an efficient method that integrates two techniques: coupling matrix synthesis and the Trust-Region Framework algorithm for optimization. This combined approach provides a good balance between model simplicity and efficiency while maintaining the robustness and accuracy of the designed filter. Simulation results indicate that the filter achieves a return loss of |S11| ≤ -20 dB and an insertion loss of |S21| ≥ -0.05 dB. Additionally, the filter demonstrates a rejection level of -50.6 dB at 3000 MHz and -21.9 dB at 5000 MHz. The optimized filter’s dimensions in the simulation are 140 × 58.17 × 29.21 mm.

References

AbuHussain, M., & Hasar, U. C. (2020). Design of X-bandpass waveguide Chebyshev filter based on CSRR metamaterial for telecommunication systems. Electronics, 9(1), Article 101. https://doi.org/10.3390/electronics9010101

Basavarajappa, G., & Mansour, R. R. (2018). Design methodology of a tunable waveguide filter with a constant absolute bandwidth using a single tuning element. IEEE Transactions on Microwave Theory Techniques, 66(12), 5632-5639. https://doi.org/10.1109/TMTT.2018.2873383

Blanchet, J., Cartis, C., Menickelly, M., & Scheinberg, K. (2019). Convergence rate analysis of a stochastic trust-region method via supermartingales. INFORMS Journal on Optimization, 1(2), 92-119. https://doi.org/10.1287/ijoo.2019.0016

Brumos, M., Boria, V. E., Guglielmi, M., & Cogollos, S. (2014, October 06–09). Correction of manufacturing deviations in circular-waveguide dual-mode filters using aggressive space mapping [Conference presentation]. 2014 44th European Microwave Conference, Rome, Italy. https://doi.org/10.1109/EuMC.2014.6986511

Cristal, E. G. (1964). Coupled circular cylindrical rods between parallel ground planes. IEEE transactions on microwave theory techniques, 12(4), 428-439. https://doi.org/10.1109/TMTT.1964.1125843

DeMartino, C. (2018). How port tuning makes filter design more efficient. Microwaves RF, 57(4), 81-85.

Diouane, Y., Picheny, V., Riche, R. L., & Perrotolo, A. S. D. (2023). TREGO: a trust-region framework for efficient global optimization. Journal of Global Optimization, 86(1), 1-23. https://doi.org/10.1007/s10898-022-01245-w

Getsinger, W. J. (1962). Coupled rectangular bars between parallel plates. IRE transactions on microwave theory techniques, 10(1), 65-72. https://doi.org./10.1109/TMTT.1962.1125447

He, Y., Wang, G., Song, X., & Sun, L. (2016). A coupling matrix and admittance function synthesis for mixed topology filters. IEEE Transactions on microwave theory techniques, 64(12), 4444-4454. https://doi.org./10.1109/TMTT.2016.2614666

Hong, J.S. (2011). Microstrip filters for RF/microwave applications. New Jersey, U.S.: John Wiley & Sons. https://doi.org/10.1002/0471221619

Hunter, I. C. (2001). Theory and design of microwave filters (no. 48). Stevenage, U.K.: IET Digital Library. https://doi.org/10.1049/PBEW048E

Levy, R., Snyder, R. V., & Matthaei, G. (2002). Design of microwave filters. IEEE Transactions on Microwave Theory techniques, 50(3), 783-793. https://doi.org/10.1109/22.989962

Melgarejo, J. C., Ossorio, J., San-Blas, A. A., Guglielmi, M., & Boria, V. E. (2022). Space mapping filter design and tuning techniques. International Journal of Microwave Wireless Technologies, 14(3), 387-396. https://doi.org/10.1017/S175907872100146X

Puglia, K. V. (2000). A general design procedure for bandpass filters derived from lowpass prototype elements: Part I. Microwave Journal-Euroglobal Edition, 43(12), 22-38.

Puglia, K. V. (2001). A general design procedure for bandpass filters derived from low pass prototype elements: Part II. Microwave Journal-Euroglobal Edition, 44(1), 114-137.

Regis, R. G. (2016). Trust regions in Kriging-based optimization with expected improvement. Engineering optimization, 48(6), 1037-1059. https://doi.org/10.1080/0305215X.2015.1082350

Swanson, D. (2020). Port tuning a microstrip-folded hairpin filter [application notes]. IEEE Microwave Magazine, 21(4), 18-28. https://doi.org/10.1109/MMM.2019.2963609

Swanson, D. G., & Wenzel, R. J. (2001, May 20–24). Fast analysis and optimization of combline filters using FEM [Conference presentation]. IEEE MTT-S International Microwave Symposium Digest (Cat. No. 01CH37157), Phoenix, AZ, USA. https://doi.org/10.1109/MWSYM.2001.967097

Wolansky, D., & Tkadlec, R. (2011). Coaxial filters optimization using tuning space mapping in CST studio. Radioengineering, 20(1), 289-294.

Wyndrum, R. W. (1965). Microwave filters, impedance-matching networks, and coupling structures. Proceedings of the IEEE, 53(7), 766-766. https://doi.org/10.1109/PROC.1965.4048

Yang, J., Zhang, Y., Zhang, D., Hong, T., Liu, Q., Sun, D., Dong, A., & Lv, S. (2020, June 15–19). Highly selective filter for suppressing interference of 5G signals to C-band satellite receiver [Conference presentation]. International Wireless Communications and Mobile Computing (IWCMC), Limassol, Cyprus. https://doi.org/10.1109/IWCMC48107.2020.9148404