Abstract
Integrated circuits operating in the millimetre-wave range require careful electromagnetic optimization of the passive networks to properly account for crosstalk and radiative effects, but also accurate and reliable statistical analysis to assess the impact of process induced variability on chip yield. These two requirements are typically computationally incompatible, since the simulation time required by electromagnetic analysis is too high to allow for multi-trial Monte Carlo statistical analysis. This work presents a parameterized surrogate approach to model the passive networks that allows for an efficient yet accurate electromagnetic-based variability analysis of microwave circuits. As a case study, we report the statistical analysis of a GaN/Si device at 28 GHz evaluating the impact of statistical variations of the matching network, under concurrent variation of two technological parameters, on device performance.
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References
Bao, M., et al.: A 24–28-GHz Doherty power amplifier with 4-W output power and 32% PAE at 6-dB OPBO in 150-nm GaN Technology. IEEE Microw. Wireless Compon. Lett. 31(6), 752–755 (2021). https://doi.org/10.1109/LMWC.2021.3063868
Beleniotis, P., et al.: Statistical modeling of GaN hemts by direct transfer of variations to model parameters. In: EuMIC (2021). https://doi.org/10.23919/EuMIC50153.2022.9783780
Cidronali, A., et al.: System level analysis of Millimetre-wave GaN-based MIMO radar for detection of micro unmanned aerial vehicles. PIERS-Spring (2019). https://doi.org/10.1109/PIERS-Spring46901.2019.9017681
Donati Guerrieri, S., et al.: Efficient sensitivity and variability analysis of nonlinear microwave stages through concurrent TCAD and EM modeling. IEEE J. Multiscale Multiphys. Comput. Tech. 4, 356–363 (2019). https://doi.org/10.1109/JMMCT.2019.2962083
Donati Guerrieri, S., et al.: Bridging the gap between physical and circuit analysis for variability-aware microwave design: modeling approaches. Electronics 11(6), 860 (2022). https://doi.org/10.3390/electronics11060860
Grivet-Talocia, S., Trinchero, R.: Behavioral, parameterized, and broadband modeling of wired interconnects with internal discontinuities. IEEE Trans. Electromagn. Compat. 60(1), 77–85 (2018). https://doi.org/10.1109/TEMC.2017.2723629
Ishikawa, R., et al.: A 28-GHz-Band GaN HEMT MMIC doherty power amplifier designed by load resistance division adjustment. In: EuMIC (2021). https://doi.org/10.23919/EuMIC50153.2022.9783948
Manfredi, P., Canavero, F.G.: Efficient statistical simulation of microwave devices via stochastic testing-based circuit equivalents of nonlinear components. IEEE Trans. Microw. Theory Techn. 63(5), 1502–1511 (2015). https://doi.org/10.1109/TMTT.2015.2417855
Mao, S., et al.: A yield-improvement method for millimeter-wave GaN MMIC power amplifier design based on load-pull analysis. IEEE Trans. Microw. Theory Techn. 69(8), 3883–3895 (2021). https://doi.org/10.1109/TMTT.2021.3088499
Ramella, C., et al.: Thermal-aware GaN/Si MMIC design for space applications. In: COMCAS (2019). https://doi.org/10.1109/COMCAS44984.2019.8958104
Ramella, C., et al.: Electro-magnetic Crosstalk Effects in a Millimeter-wave MMIC Stacked Cell. In: INMMiC (2020). https://doi.org/10.1109/INMMiC46721.2020.9160341
Ramella, C., et al.: Efficient EM-based variability analysis of passive microwave structures through parameterized reduced-order behavioral models. In: EuMIC (2022). https://doi.org/10.23919/EuMIC54520.2022.9922958
Sangwan, V., et al.: High-frequency electromagnetic simulation and optimization for GaN-HEMT power amplifier IC. IEEE Trans. Electromagn. Compat. 61(2), 564–571 (2019). https://doi.org/10.1109/TEMC.2018.2820202
Triverio, P., et al.: A parameterized macromodeling strategy with uniform stability test. IEEE Trans. Adv. Packag. 32(1), 205–215 (2009). https://doi.org/10.1109/TADVP.2008.2007913
Wohlert, D., et al.: 8-watt linear three-stage GaN Doherty power amplifier for 28 GHz 5G applications. In: BCICTS (2019). https://doi.org/10.1109/BCICTS45179.2019.8972750
Zanco, A., et al.: Uniformly stable parameterized macromodeling through positive definite basis functions. IEEE Trans. Compon. Packag. Manuf. Technol. 10(11), 1782–1794 (2020). https://doi.org/10.1109/TCPMT.2020.3012275
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Ramella, C., Zanco, A., De Stefano, M., Bradde, T., Grivet-Talocia, S., Pirola, M. (2023). Parameterized Surrogate Models of Microstrip Structures for Electromagnetic-Based Power Amplifier Design and Statistical Analysis. In: Cocorullo, G., Crupi, F., Limiti, E. (eds) Proceedings of SIE 2022. SIE 2022. Lecture Notes in Electrical Engineering, vol 1005. Springer, Cham. https://doi.org/10.1007/978-3-031-26066-7_8
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DOI: https://doi.org/10.1007/978-3-031-26066-7_8
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