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Original Articles

Reduced-cost surrogate modelling of compact microwave components by two-level kriging interpolation

ORCID Icon & ORCID Icon
Pages 960-972 | Received 19 Dec 2018, Accepted 29 May 2019, Published online: 05 Jul 2019

References

  • Ayach, O. E., S. Rajagopal, S. Abu-Surra, Z. Pi, and R. W. Heath. 2014. “Spatially Sparse Precoding in Millimeter Wave MIMO Systems.” IEEE Transactions on Wireless Communications 13 (3): 1499–1513. doi:10.1109/TWC.2014.011714.130846.
  • Breitkopf, P., H. Naceur, A. Rassineux, and P. Villon. 2005. “Moving Least Squares Response Surface Approximation: Formulation and Metal Forming Applications.” Computers & Structures 83 (17–18): 1411–1428. doi:10.1016/j.compstruc.2004.07.011.
  • Cai, J., J. King, C. Yu, J. Liu, and L. Sun. 2018. “Support Vector Regression-Based Behavioral Modeling Technique for RF Power Transistors.” IEEE Microwave and Wireless Components Letters 28 (5): 428–430. doi:10.1109/LMWC.2018.2819427.
  • Chavez-Hurtado, J. L., and J. E. Rayas-Sanchez. 2016. “Polynomial-Based Surrogate Modeling of RF and Microwave Circuits in Frequency Domain Exploiting the Multinomial Theorem.” IEEE Transactions on Microwave Theory and Techniques 64 (12): 4371–4381. doi:10.1109/TMTT.2016.2623902.
  • Chen, S., M. Guo, K. Xu, P. Zhao, L. Dong, and G. Wang. 2018. “A Frequency Synthesizer Based Microwave Permittivity Sensor Using CMRC Structure.” IEEE Access 6: 8556–8563. doi:10.1109/ACCESS.2018.2808362.
  • Contreras, A., M. Ribó, L. Pradell, V. Raynal, I. Moreno, M. Combes, and M. Ten. 2018. “Compact Fully Uniplanar Bandstop Filter Based on Slow-Wave Multimodal CPW Resonators.” IEEE Microwave and Wireless Components Letters 28 (9): 780–782. doi:10.1109/LMWC.2018.2855565.
  • de Villiers, D. I. L., I. Couckuyt, and T. Dhaene. 2017. “Multi-objective Optimization of Reflector Antennas Using Kriging and Probability of Improvement.” In IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 985–986. Piscataway, NJ: IEEE. doi:10.1109/APUSNCURSINRSM.2017.8072535.
  • Gorissen, D., L. Zhang, Q.-J. Zhang, and T. Dhaene. 2011. “Evolutionary Neuro-space Mapping Technique for Modeling of Nonlinear Microwave Devices.” IEEE Transactions on Microwave Theory and Techniques 59 (2): 213–229. doi:10.1109/TMTT.2010.2090169.
  • Ke, P.-Y., H.-C. Chiu, F.-H. Huang, H.-L. Kao, and Q. Xue. 2012. “Characterization of Compact V-Band GaAs CMRC Filter Using Slow Wave CPW Transmission Lines Technology.” Progress in Electromagnetics Research B 43: 355–372. doi:10.2528/PIERB12071302.
  • Khorrami, M. A., P. Dixon, Y. Arien, and J. Song. 2016. “Effective Power Delivery Filtering of Mixed-Signal Systems with Negligible Radiated Emission.” IEEE Electromagnetic Compatibility Magazine 5 (4): 128–132. doi:10.1109/MEMC.2016.786625. doi: 10.1109/MEMC.2016.7866251
  • Koziel, S., and J. W. Bandler. 2015. “Rapid Yield Estimation and Optimization of Microwave Structures Exploiting Feature-Based Statistical Analysis.” IEEE Transactions on Microwave Theory and Techniques 63 (1): 107–114. doi:10.1109/TMTT.2014.2373365.
  • Koziel, S., and A. Bekasiewicz. 2016a. “Accurate Simulation-Driven Modeling and Design Optimization of Compact Microwave Structures.” Presented at the IEEE MTT-S International Microwave Symposium, San Francisco, CA, USA, May 22–27. doi:10.1109/MWSYM.2016.7539997.
  • Koziel, S., and A. Bekasiewicz. 2016b. “Rapid Simulation-Driven Multi-objective Design Optimization of Decomposable Compact Microwave Passives.” IEEE Transactions on Microwave Theory and Techniques 64 (8): 2454–2461. doi:10.1109/TMTT.2016.2583427.
  • Koziel, S., and A. Bekasiewicz. 2017. “Rapid Statistical Analysis and Tolerance-Aware Design of Antennas by Response Feature Surrogates.” In IEEE International Symposium on Antennas and Propagation & USNC/URSI National Radio Science Meeting, 2199–2200. doi:10.1109/APUSNCURSINRSM.2017.8073142.
  • Koziel, S., and A. Bekasiewicz. 2018. “Implicit Space Mapping for Variable-Fidelity EM-Driven Design of Compact Circuits.” IEEE Microwave and Wireless Components Letters 28 (4): 275–277. doi:10.1109/LMWC.2018.2811253.
  • Koziel, S., A. Bekasiewicz, P. Kurgan, and J. W. Bandler. 2015. “Expedited Multi-objective Design Optimization of Miniaturized Microwave Structures Using Physics-Based Surrogates.” Presented at the IEEE MTT-S International Microwave Symposium, Phoenix, AZ, USA, May 17–22. doi:10.1109/MWSYM.2015.7166738.
  • Koziel, S., and P. Kurgan. 2018. “Inverse Modeling for Fast Design Optimization of Small-Size Rat-Race Couplers Incorporating Compact Cells.” International Journal of RF and Microwave Computer-Aided Engineering 28 (5): 1–8. doi:10.1002/mmce.21240.
  • Koziel, S., and A. T. Sigurðsson. 2018. “Performance-Driven Modeling of Compact Couplers in Restricted Domains.” International Journal of RF and Microwave Computer-Aided Engineering 28 (6): e21296. doi:10.1002/mmce.21296.
  • Lalbakhsh, A., M. U. Afzal, and K. P. Esselle. 2017. “Multiobjective Particle Swarm Optimization to Design a Time-Delay Equalizer Metasurface for an Electromagnetic Band-Gap Resonator Antenna.” IEEE Antennas and Wireless Propagation Letters 16: 912–915. doi:10.1109/LAWP.2016.2614498.
  • Leary, S., A. Bhaskar, and A. Keane. 2003. “Optimal Orthogonal-Array-Based Latin Hypercubes.” Journal of Applied Statistics 30 (5): 585–598. doi:10.1080/0266476032000053691.
  • Li, X. 2010. “Finding Deterministic Solution From Underdetermined Equation: Large-Scale Performance Variability Modeling of Analog/RF Circuits.” IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems 29 (11): 1661–1668. doi:10.1109/TCAD.2010.2061292.
  • Liu, W., W. Na, L. Zhu, J. Ma, and Q. J. Zhang. 2017. “A Wiener-Type Dynamic Neural Network Approach to the Modeling of Nonlinear Microwave Devices.” IEEE Transactions on Microwave Theory and Techniques 65 (6): 2043–2062. doi:10.1109/TMTT.2017.2657501.
  • Nechma, T., and M. Zwolinski. 2015. “Parallel Sparse Matrix Solution for Circuit Simulation on FPGAs.” IEEE Transactions on Computers 64 (4): 1090–1103. doi:10.1109/TC.2014.2308202.
  • Rayas-Sanchez, J. E. 2016. “Power in Simplicity with ASM: Tracing the Aggressive Space Mapping Algorithm Over Two Decades of Development and Engineering Applications.” IEEE Microwave Magazine 17 (4): 64–76. doi:10.1109/MMM.2015.2514188.
  • Simpson, T. W., J. D. Poplinski, P. N. Koch, and J. K. Allen. 2001. “Metamodels for Computer-Based Engineering Design: Survey and Recommendations.” Engineering with Computers 17: 129–150. doi:10.1007/PL00007198.
  • Stevanović, M. N., L. Crocco, A. R. Djordjević, and A. Nehorai. 2016. “Higher Order Sparse Microwave Imaging of PEC Scatterers.” IEEE Transactions on Antennas and Propagation 64 (3): 988–997. doi:10.1109/TAP.2016.2521879.
  • Sun, S., B. J. Kooij, and A. G. Yarovoy. 2018. “A Linear Model for Microwave Imaging of Highly Conductive Scatterers.” IEEE Transactions on Microwave Theory and Techniques 66 (3): 1149–1116. doi:10.1109/TMTT.2017.2772795.
  • Ting, H. L., S. K. Hsu, and T. L. Wu. 2017. “A Novel and Compact Eight-Port Forward-Wave Directional Coupler With Arbitrary Coupling Level Design Using Four-Mode Control Technology.” IEEE Transactions on Microwave Theory and Techniques 65 (2): 467–475. doi:10.1109/TMTT.2016.2623709.
  • Wang, F., and X. Li. 2016. “Correlated Bayesian Model Fusion: Efficient Performance Modeling of Large-Scale Tunable Analog/RF Integrated Circuits.” Presented at the Design Automation Conference (DAC), Austin, TX, USA, June 5–9. doi:10.1145/2897937.2897999.
  • Zhang, C., F. Feng, V. Gongal-Reddy, Q. J. Zhang, and J. W. Bandler. 2015. “Cognition-Driven Formulation of Space Mapping for Equal-Ripple Optimization of Microwave Filters.” IEEE Transactions on Microwave Theory and Techniques 63 (7): 2154–2165. doi:10.1109/TMTT.2015.2431675.
  • Zhang, C., F. Feng, Q. Zhang, and J. W. Bandler. 2017. “An Enhanced Cognition-Driven Formulation of Space Mapping for Equal-Ripple Optimisation of Microwave Filters.” IET Microwaves, Antennas & Propagation 12 (1): 82–91. doi:10.1049/iet-map.2017.0238.
  • Zhang, J., C. Zhang, F. Feng, W. Zhang, J. Ma, and Q. Zhang. 2018. “Polynomial Chaos-Based Approach to Yield-Driven EM Optimization.” IEEE Transactions on Microwave Theory and Techniques 66 (7): 3186–3199. doi:10.1109/TMTT.2018.2834526.

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