Author:
Koziel Slawomir,Haq Tanveerul
Abstract
AbstractModern microwave devices are designed to fulfill stringent requirements pertaining to electrical performance, which requires, among others, a meticulous tuning of their geometry parameters. When moving up in frequency, physical dimensions of passive microwave circuits become smaller, making the system performance increasingly susceptible to manufacturing tolerances. In particular, inherent inaccuracy of fabrication processes affect the fundamental operating parameters, such as center frequency or bandwidth, which is especially troublesome for narrow-band structures, including notch filters. The ability to quantify the effects of tolerances, and—even more—to account for these in the design process, are instrumental in making the designs more reliable, and to increase the likelihood that adequate operation is ensured despite manufacturing errors. This paper proposes a simple yet computationally efficient and reliable procedure for statistical analysis and yield optimization of resonator-based notch filters. Our methodology involves feature-based surrogate models that can be established using a handful of training data points, and employed for rapid evaluation of the circuit fabrication yield. Furthermore, a yield optimization procedure is developed, which iteratively sets up a sequence of feature-based models, constructed within local domains relocated along the optimization path, and uses them as predictors to find a robust (maximum yield) design at a low computational cost. The presented approach has been demonstrated using two complementary split ring resonator (CSRR)-based notch filters. The cost of statistical design is about a hundred of EM simulations of the respective filter, with yield evaluation reliability corroborated through EM-based Monte Carlo analysis.
Funder
Icelandic Centre for Research
National Science Centre of Poland
Publisher
Springer Science and Business Media LLC
Reference52 articles.
1. Rengasamy, R., Dhanasekaran, D., Chakraborty, C. & Ponnan, S. Modified minkowski fractal multiband antenna with circular-shaped split-ring resonator for wireless applications. Measurement 182, 109766 (2021).
2. Hakim, M. L., Alam, T., Islam, M. T., Alsaif, H. & Soliman, M. S. Polarization-independent fractal square splits ring resonator (FSSRR) multiband metamaterial absorber/artificial magnetic conductor/sensor for Ku/K/Ka/5G (Mm-Wave) band applications. Measurement 23, 112545 (2023).
3. Marketsandmarkets. RF Tunable Filter Market. Accessed: Mar. 10, 2023, [online] Available: https://www.marketsandmarkets.com/Market-Reports/rf-tunable-filter-market-69180206.html.
4. Anandan, N. & George, B. A wide-range capacitive sensor for linear and angular displacement measurement. IEEE Trans. Ind. Electron. 64(7), 5728–5737 (2017).
5. Tameh, T. A., Sawan, M. & Kashyp, R. Smart integrated optical rotation sensor incorporating a fly-by-wire control system. IEEE Trans. Ind. Electron. 65(8), 6505–6514 (2018).
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