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A Well-matched and Balanced Impedance Matching Method Utilizing a Full-Scalable Magnetic-Electric Coupled Transformer Model

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Abstract

This article presents a new method to achieve a well-matched and balanced impedance matching using a magnetic-electric coupled (MEC) transformer model. Both the MEC transformer model and its matching method are analyzed comprehensively. The MEC model takes the common-mode effects into consideration and improves accuracy FoM value (AFV) in the 1\(\sim\)100 GHz frequency band compared to the magnetically coupled transformer model in a 1:2 transformer example, which can provide higher accuracy for designing a better transformer. The proposed matching approach in this article can determine a well-matched and balanced MEC transformer matching network according to the target impedance. Mapping relationships between the parameters of the MEC transformer model and the geometric parameters of the transformer are further discussed to achieve a practical and optimal transformer simulation prototype. The methods to control the common-mode effects of the transformer are discussed both at the physical and circuit levels. The full-scalable parameters extraction methodology is verified over broadband by full-wave electromagnetic (EM) simulations and measurements. The proposed well-matched and balanced impedance matching approach is proven by the HFSS (3D High Frequency Simulation Software) simulation and structure measurements.

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Authors and Affiliations

  1. Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China

    Linhong Li, Shuai Cheng, Niansong Mei & Zhaofeng Zhang

  2. University of Chinese Academy of Sciences, Beijing, China

    Linhong Li & Shuai Cheng

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  1. Linhong Li
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  2. Shuai Cheng
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  3. Niansong Mei
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  4. Zhaofeng Zhang
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Correspondence to Zhaofeng Zhang.

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Li, L., Cheng, S., Mei, N. et al. A Well-matched and Balanced Impedance Matching Method Utilizing a Full-Scalable Magnetic-Electric Coupled Transformer Model. J Infrared Milli Terahz Waves 43, 71–93 (2022). https://doi.org/10.1007/s10762-021-00836-0

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  • DOI: https://doi.org/10.1007/s10762-021-00836-0

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