Space Mapping With Adaptive Response Correction for Microwave Design Optimization

Output space mapping is a technique introduced to enhance the robustness of the space-mapping optimization process in case the space-mapped coarse model cannot provide sufficient matching with the fine model. The technique often works very well; however, in some cases it fails. Especially in the microwave area where the typical model response (e.g., 21) is a highly nonlinear function of the free parameter (e.g., frequency), the output spacemapping correction term may actually increase the mismatch between the surrogate and fine models for points other than the one at which the term was calculated, as in the surrogate model optimization process. In this paper, an adaptive response correction scheme is presented to work in conjunction with space-mapping optimization algorithms. This technique is designed to alleviate the difficulties of the standard output space mapping by adaptive adjustment of the response correction term according to the changes of the space-mapped coarse model response. Examples indicate the robustness of our approach

Variable-fidelity electromagnetic simulations and co-kriging for accurate modeling of antennas

Accurate and fast models are indispensable in contemporary antenna design. In this paper, we describe the low-cost antenna modeling methodology involving variable-fidelity electromagnetic (EM) simulations and co-Kriging. Our approach exploits sparsely sampled accurate (high-fidelity) EM data as well as densely sampled coarse-discretization (low-fidelity) EM simulations that are accommodated into one model using the co-Kriging technique. By using coarse-discretization simulations, the computational cost of creating the antenna model is greatly reduced compared to conventional approaches, where high-fidelity simulations are directly used to set up the model. At the same time, the modeling accuracy is not compromised. The proposed technique is demonstrated using three examples of antenna structures. Comparisons with conventional modeling based on high-fidelity data approximation, as well as applications for antenna design, are also discussed

Communication Subsystems for Emerging Wireless Technologies

The paper describes a multi-disciplinary design of modern communication systems. The design starts with the analysis of a system in order to define requirements on its individual components. The design exploits proper models of communication channels to adapt the systems to expected transmission conditions. Input filtering of signals both in the frequency domain and in the spatial domain is ensured by a properly designed antenna. Further signal processing (amplification and further filtering) is done by electronics circuits. Finally, signal processing techniques are applied to yield information about current properties of frequency spectrum and to distribute the transmission over free subcarrier channels

Advanced RF and Microwave Design Optimization: A Journey and a Vision of Future Trends

In this paper, we outline the historical evolution of RF and microwave design optimization and envisage imminent and future challenges that will be addressed by the next generation of optimization developments. Our journey starts in the 1960s, with the emergence of formal numerical optimization algorithms for circuit design. In our fast historical analysis, we emphasize the last two decades of documented microwave design optimization problems and solutions. From that retrospective, we identify a number of prominent scientific and engineering challenges: 1) the reliable and computationally efficient optimization of highly accurate system-level complex models subject to statistical uncertainty and varying operating or environmental conditions; 2) the computationally-efficient EM-driven multi-objective design optimization in high-dimensional design spaces including categorical, conditional, or combinatorial variables; and 3) the manufacturability assessment, statistical design, and yield optimization of high-frequency structures based on high-fidelity multi-physical representations. To address these major challenges, we venture into the development of sophisticated optimization approaches, exploiting confined and dimensionally reduced surrogate vehicles, automated feature-engineering-based optimization, and formal cognition-driven space mapping approaches, assisted by Bayesian and machine learning techniques.ITESO, A.C

Publications of the Jet Propulsion Laboratory, July 1961 through June 1962

Jpl bibliography on space science, 1961-196

EM Based Synthesis and Design of Bandpass Waveguide Filters Including Manufacturing Effects with FEST3D

This article aims at the industry interest on automated design tools that are able to take into account manufacturing effects. First, an efficient design strategy for bandpass waveguide filters including the rounded corners arising from low-cost manufacturing procedures is presented. This technique is based on a recent enhanced prototype and synthesis methodology able to consider the real structure parts. Using the resulting electromagnetic (EM)-based synthesis technique, an excellent structure is extracted, which requires, at most, only a slight final EM optimization. Second, this article presents analytical expressions providing error estimates for the different filter performances in terms of manufacturing tolerances. From such expressions, designers can determine the tolerance to be requested for a tuning-less implementation. Moreover, they can also be used to set the convergence criterion for the synthesis procedure. A fully automated design tool of bandpass waveguide filters able to consider manufacturing impairments has been developed and integrated in the commercial software Full-wave EM Simulation Tool 3D (FEST 3D)The authors thank Mrs. Eva Tarin, Mr. Oscar Monerris, and Mr. Jaime Armendariz for their work on the integration of the synthesis tool for H-plane waveguide filters in FEST 3D. This work was supported by Ministerio de Educacion y Ciencia, Spanish Government, under the Research Project ref. TEC2010-21520-C04-01.Soto Pacheco, P.; Boria Esbert, VE.; Carceller Candau, C.; Vicente Quiles, CP.; Gil Raga, J.; Gimeno Martinez, B. (2012). EM Based Synthesis and Design of Bandpass Waveguide Filters Including Manufacturing Effects with FEST3D. International Journal of RF and Microwave Computer-Aided Engineering. 22(1):93-103. https://doi.org/10.1002/mmce.2058893103221Reiter, J. M., & Arndt, F. (1995). Rigorous analysis of arbitrarily shaped H- and E-plane discontinuities in rectangular waveguides by a full-wave boundary contour mode-matching method. IEEE Transactions on Microwave Theory and Techniques, 43(4), 796-801. doi:10.1109/22.375226Zhou, J., Duan, B., & Huang, J. (2010). Influence and tuning of tunable screws for microwave filters using least squares support vector regression. International Journal of RF and Microwave Computer-Aided Engineering, 20(4), 422-429. doi:10.1002/mmce.20447Nikolova, N. (2008). Electromagnetic software in microwave engineering [Guest Editorial]. IEEE Microwave Magazine, 9(6), 10-12. doi:10.1109/mmm.2008.929880Boria, V. E., Gimeno, B., Marini, S., Taroncher, M., Cogollos, S., Soto, P., … Gil, J. (2007). Recent advances in modeling, design, and fabrication of microwave filters for space applications. International Journal of RF and Microwave Computer-Aided Engineering, 17(1), 70-76. doi:10.1002/mmce.20199Kozakowski, P., & Mrozowski, M. (2002). Gradient-based optimization of filters using FDTD software. IEEE Microwave and Wireless Components Letters, 12(10), 389-391. doi:10.1109/lmwc.2002.804561Boria, V. E., Bozzi, M., Bruni, F., Cogollos, S., Conciauro, G., Gimeno, B., & Perregrini, L. (2003). Efficient analysis of in-line waveguide filters and frequency-selective surfaces with stepped holes. International Journal of RF and Microwave Computer-Aided Engineering, 13(4), 306-315. doi:10.1002/mmce.10087Morro, J. V., Esteban, H., Boria, V. E., Bachiller, C., & Belenguer, A. (2008). Optimization techniques for the efficient design of low-cost satellite filters considering new light materials. International Journal of RF and Microwave Computer-Aided Engineering, 18(2), 168-175. doi:10.1002/mmce.20264Hunter, I. (2001). Theory and Design of Microwave Filters. doi:10.1049/pbew048eSoto, P., Tarin, E., Boria, V. E., Vicente, C., Gil, J., & Gimeno, B. (2010). Accurate Synthesis and Design of Wideband and Inhomogeneous Inductive Waveguide Filters. IEEE Transactions on Microwave Theory and Techniques, 58(8), 2220-2230. doi:10.1109/tmtt.2010.2052668Morini, A., Venanzoni, G., & Rozzi, T. (2006). A new adaptive prototype for the design of side-coupled coaxial filters with close correspondence to the physical structure. IEEE Transactions on Microwave Theory and Techniques, 54(3), 1146-1153. doi:10.1109/tmtt.2005.864112Morini, A., Venanzoni, G., Farina, M., & Rozzi, T. (2007). Modified Adaptive Prototype Inclusive of the External Couplings for the Design of Coaxial Filters. IEEE Transactions on Microwave Theory and Techniques, 55(9), 1905-1911. doi:10.1109/tmtt.2007.904329Cogollos, S., Marini, S., Boria, V. E., Soto, P., Vidal, A., Esteban, H., … Gimeno, B. (2003). Efficient modal analysis of arbitrarily shaped waveguides composed of linear, circular, and elliptical arcs using the BI-RME method. IEEE Transactions on Microwave Theory and Techniques, 51(12), 2378-2390. doi:10.1109/tmtt.2003.819776Levy, R. (1967). Theory of Direct-Coupled-Cavity Filters. IEEE Transactions on Microwave Theory and Techniques, 15(6), 340-348. doi:10.1109/tmtt.1967.1126471Balasubramanian, R., & Pramanick, P. (1999). Computer aided design ofH-plane tapered corrugated waveguide bandpass filters. International Journal of RF and Microwave Computer-Aided Engineering, 9(1), 14-21. doi:10.1002/(sici)1099-047x(199901)9:13.0.co;2-