GENİŞ BANTLI ALT TAŞ TÜMLEŞİK DALGA KILAVUZU BANT GEÇİREN SÜZGEÇLERİN ÇOK AŞAMALI PARÇACIK SÜRÜ OPTİMİZASYONUYLA TASARIMI

Öz

Bu çalışma, bant geçiren süzgeçlerin (BGS) tasarımı için parçacık sürü optimizasyonu (PSO) algoritması tabanlı sistematik ve çok aşamalı bir tasarım metodolojisi önermektedir. Bu amaçla, alt taş tümleşik dalga kılavuzu teknolojisi ve toplu kapasitörler kullanılarak kompakt, geniş bantlı bir BGS topolojisi seçilmiştir. Önerilen BGS S/C bandında yüksek bant dışı bastırma, düşük araya yerleştirme kaybı (AYK) ve yüksek geri dönüş kaybı (GDK) ile çalışmaktadır. BGS’nin devre modeli incelenmiş ve her bir devre elemanının değeri benzetimlerle elde edilmiştir. Geliştirilen algoritma, maliyet fonksiyonu hesaplamalarında eşdeğer devre modeli kullanmaktadır. Geçiş bandında GDK’nin -10 dB altında kalmasını sağlayan toplu kapasitans değerleri PSO yöntemiyle elde edilmiştir. Elektromanyetik tabanlı optimizasyon süreciyle karşılaştırıldığında, devre modeli makul doğrulukta çok daha hızlı bir tasarım sağlamaktadır. Optimizasyon sonuçları, üretilen süzgecin benzetimleri ve ölçümleriyle doğrulanmıştır. 3.5 GHz ile 6 GHz arasında ölçülen AYK 1.8 dB’den daha düşük, GDK ise 12.1 dB’den daha yüksek bulunmuştur.

Anahtar Kelimeler

• Bant geçiren süzgeç
• Geniş bantlı süzgeç
• Parçacık sürü optimizasyonu
• Alt taş tümleşik dalga kılavuzu

Teşekkür

This study is derived from the Master's thesis titled 'Design of a Tunable Wideband Bandpass Filter Based on Substrate Integrated Waveguide Technology for Channelized Receivers', completed by Ecenaz İşcan at the Graduate School of Natural and Applied Sciences of Middle East Technical University.

BROADBAND SUBSTRATE INTEGRATED WAVEGUIDE BANDPASS FILTER DESIGN USING MULTI-STAGE PARTICLE SWARM OPTIMIZATION

Öz

This study proposes a systematic multi-stage design methodology using a particle swarm optimization (PSO) algorithm for the design of bandpass filters (BPFs). For this purpose, a compact wide-band BPF topology utilizing the substrate-integrated waveguide technology and lumped capacitors is selected. The BPF operates in the S/C band with a high out-of-band rejection, low insertion loss (IL), and high return loss (RL). The circuit model of the BPF is investigated, and the value of each circuit element is obtained by simulations. The developed algorithm utilizes the equivalent circuit model for cost function evaluations. The lumped capacitance values that maintain an RL below -10 dB within the desired passband are obtained using PSO. Compared to an electromagnetic-driven optimization process, the circuit model enables a significantly faster design with reasonably accurate response predictions. The optimization results are verified by simulations and measurements of the manufactured filter. The IL is measured to be less than 1.8 dB, and the RL is greater than 12.1 dB from 3.5 GHz to 6 GHz.

Anahtar Kelimeler

• Bandpass filter
• Wideband filter
• Particle swarm optimization
• Substrate-integrated waveguide

Etik Beyan

No conflict of interest was declared by the authors.

Teşekkür

This study is derived from the Master's thesis titled 'Design of a Tunable Wideband Bandpass Filter Based on Substrate Integrated Waveguide Technology for Channelized Receivers', completed by Ecenaz İşcan at the Graduate School of Natural and Applied Sciences of Middle East Technical University.

Kaynakça

1. References
2. Al-Jeshami, H., Al-Saedi, H., Hasan, M.F., Khani, H.I., Muhsin, M.Y. and Abdel-Wahab, W.M., 2025. Using a Half-mode SIW Loaded with Slots to Realize a Compact UWB Bandpass Filter. Journal of Telecommunications and Information Technology, 1-8.
3. ANSYS Inc. (2024) ANSYS Q3D Extractor, Release 2024R1. Available at: https://www.ansys.com. Bozzi, M., Winkler, S.A. and Wu, K., 2010. Broadband and compact ridge substrate-integrated waveguides. IET microwaves, antennas & propagation, 4(11), 1965-1973.
4. Cameron, R.J., Kudsia, C.M. and Mansour, R.R., 2018. Microwave filters for communication systems: fundamentals, design, and applications. John Wiley & Sons.
5. Cao, H., Ji, J., Liu, M., Huang, W. and Sun, L., 2025. The Miniaturized Substrate Integrated Waveguide Filter Loaded With Mushroom. IEEE Microwave and Wireless Technology Letters, 35(11), 1708-1711.
6. Chu, P., Guo, L., Zhang, L., Xu, F., Hong, W., and Wu, K., 2020. Wide stopband substrate integrated waveguide filter implemented by orthogonal ports’ offset. IEEE Transactions on Microwave Theory and Techniques, 68(3), 964-970.
7. Dorigo, M. and Stützle, T., 2019. Ant colony optimization: overview and recent advances. Gendreau, M., Potvin, J.Y. (Edt), Handbook of metaheuristics. International Series in Operations Research & Management Science, 272, 311-351. Springer, Cham.
8. Du, W.B., Ying, W., Yan, G., Zhu, Y.B. and Cao, X.B., 2016. Heterogeneous strategy particle swarm optimization. IEEE Transactions on Circuits and Systems II: Express Briefs, 64(4), 467-471.

9. İşcan, E., 2024. Design of a tunable wideband bandpass filter based on substrate integrated waveguide technology for channelized receivers. Master's thesis. Middle East Technical University, Turkey.
10. Jin, C. and Shen, Z., 2013. Compact triple-mode filter based on quarter-mode substrate integrated waveguide. IEEE Transactions on Microwave Theory and Techniques, 62(1), 37-45.
11. Jin, J., Feng, F., Zhang, J., Ma, J. and Zhang, Q.J., 2021. Efficient EM topology optimization incorporating advanced matrix Padé via Lanczos and genetic algorithm for microwave design. IEEE Transactions on Microwave Theory and Techniques, 69(8), 3645-3666.
12. Kachitvichyanukul, V., 2012. Comparison of three evolutionary algorithms: GA, PSO, and DE. Industrial Engineering and Management Systems, 11(3), 215-223.
13. Le, Y., Dong, H., Su, G., Zhan, J., Quan, X. and Liu, J., 2024. A miniaturized and low-loss Q-band SIW bandpass filter based on evanescent-mode in wafer-level packaging process. Microelectronics Journal, 149, 106209.
14. Li, D., Luo, W., Chen, X., Wang, J., Yang, C., Xu, K.D. and Chen, Q., 2024. SIW cavity mode analysis and control techniques for compact wide-stopband filters design. IEEE Transactions on Circuits and Systems II: Express Briefs, 71(7), 3338-3342.
15. Li, M., Ji, Q., Chen, C., Chen, W. and Zhang, H., 2018. A triple-mode bandpass filter with controllable bandwidth using QMSIW cavity. IEEE Microwave and Wireless Components Letters, 28(8), 654-656.
16. Li, Y. and Luo, X., 2023. Adaptive synthesis using hybrid genetic algorithm and particle swarm optimization for reflectionless filter with lumped elements. IEEE Transactions on Microwave Theory and Techniques, 71(12), 5317-5334.
17. Lin, G. and Dong, Y., 2022. A compact, hybrid SIW filter with controllable transmission zeros and high selectivity. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(4), 2051-2055.
18. Liu, D. and Dong, Y., 2022. Compact low-loss half-mode substrate integrated waveguide filter with controllable transmission zeros. IEEE Transactions on Circuits and Systems II: Express Briefs, 69(11), 4248-4252.
19. Luo, X., Yang, B. and Qian, H.J., 2018. Adaptive synthesis for resonator-coupled filters based on particle swarm optimization. IEEE Transactions on Microwave Theory and Techniques, 67(2), 712-725.
20. Mashayekhi, M. and Salehian, K., 2025. AI-Powered Inverse Design of Ku-Band SIW Resonant Structures by Iterative Residual Correction Network. AEU - International Journal of Electronics and Communications, 201, 156003.
21. Massoni, E., Silvestri, L., Alaimo, G., Marconi, S., Bozzi, M., Perregrini, L. and Auricchio, F., 2017. 3-D printed substrate integrated slab waveguide for single-mode bandwidth enhancement. IEEE Microwave and Wireless Components Letters, 27(6), 536-538.
22. MathWorks Inc. (2024) MATLAB, Release 2024b. Available at https://www.mathworks.com/products/global-optimization.html
23. Messaoudi, E.M., Perez, J.D.M. and Boria, V.E., 2023. Compact substrate integrated waveguide wideband bandpass filter with post-manufacturing tuning capabilities. IEEE Access, 11, 2327-2341.
24. Moro, R., Moscato, S., Bozzi, M. and Perregrini, L., 2015. Substrate integrated folded waveguide filter with out-of-band rejection controlled by resonant-mode suppression. IEEE Microwave and Wireless Components Letters, 25(4), 214-216.
25. Muchhal, N., Kumar, A., Tewari, N., Kalia, S. and Srivastava, S., 2024. Design of a Half-Mode Substrate-Integrated Waveguide (HMSIW) Multimode Resonator Bandpass Filter Using the Minkowski Fractal for C-Band Applications. Micromachines, 15(12), 1440.
26. Pietrenko-Dabrowska, A. and Koziel, S., 2025. Variable-fidelity EM analysis and simplex-anchored regression surrogates for efficient global optimization of microwave passive circuits. Scientific Reports, 15(1), 42179.
27. Price, K.V., Storn, R.M. and Lampinen, J.A., 2005. Differential evolution: a practical approach to global optimization. Berlin, Heidelberg: Springer Berlin Heidelberg.
28. Qiu, L., Zhu, X.W. and Yang, X.L., 2024. Compact multilayer SIW bandpass filter with cross coupling and source-to-multiresonator coupling. IEEE Transactions on Components, Packaging and Manufacturing Technology, 14(12), 2331-2338.
29. Tang, J., Liu, H., and Yang, Y., 2020. Compact wide-stopband dual-band balanced filter using an electromagnetically coupled SIR pair with controllable transmission zeros and bandwidths. IEEE Transactions on Circuits and Systems II: Express Briefs, 67(11), 2357-2361.
30. Toya, S., Huang, T., Mohan, A.S. and Yakabe, T., 2007. Application of particle swarm optimization for the design of UWB bandpass filters. 2007 IEEE Antennas and Propagation Society International Symposium, 1617-1620.
31. Vikash, S., Natarajan, K., Sri Hari, B., Sri Pragathi, B., Poornima, T. and Natarajamani, S., 2020. Multi-objective optimization of cross coupled resonators based microstrip bandpass filter using PSO. IEEE 5th International Conference on Communication and Electronics Systems (ICCES), 322-325.
32. Wang, Q., Zhai, G., Yang, Y., Xu, Z., Gao, J. and Xiong, D., 2025. Compact Dual-Mode SIW Bandpass Filters With Ultrawide Stopband Performance. IEEE Microwave and Wireless Technology Letters, 35(8), 1114-1117.
33. Wang, X., Zhu, X.W., Jiang, Z.H., Hao, Z.C., Wu, Y.W. and Hong, W., 2019. Analysis of eighth-mode substrate-integrated waveguide cavity and flexible filter design. IEEE Transactions on Microwave Theory and Techniques, 67(7), 2701-2712.
34. Zheng, Y., Tian, H. and Dong, Y., 2024. Miniaturized, wide stopband filter based on shielded capacitively loaded SIW resonators. Chinese Journal of Electronics, 33(2), 456-462.
35. Zhu, F., Luo, G.Q., Liao, Z., Dai, X.W. and Wu, K., 2021. Compact dual-mode bandpass filters based on half-mode substrate-integrated waveguide cavities. IEEE microwave and wireless components letters, 31(5), 441-444.