Millimeter-Wave Multilayer Common-Mode Filter With Robustness Enhancement Analysis Based on Multiple Linear Regression Equation
Based on the proposed millimeter-wave multilayer common-mode filter (CMF) design, this article further presents an innovative parameter analysis method using multiple linear regression equations. Through importing data from parametric sweep into the statistical product and service solution (SPSS) software, the derived equations can be obtained by the significance level and regression coefficients. The proposed method provides applications as: 1) the S-parameters at needed frequency can be estimated when the processing capability is given; 2) the derived equations can qualify and quantify the influence of each parameter on the performance; and 3) the specific guidance of parameter tuning can be obtained to enhance the robustness of the CMF. The estimated intervals include the measured intervals proving the validity of the proposed analysis method. For the proposed CMF, the 7.6-GHz bandwidth is realized and the 3-dB differential-mode (DM) cutoff frequency is higher than 40 GHz.
Authors
- Guangxu Shen (ORCID: https://orcid.org/0000-0002-6701-6950)
- Wenjie Feng (ORCID: https://orcid.org/0000-0003-0360-9412)
- Yijun Weng (ORCID: https://orcid.org/0000-0001-9514-2033)
- Wenquan Che (ORCID: https://orcid.org/0000-0002-9388-6570)
- Lin‐Sheng Wu (ORCID: https://orcid.org/0000-0002-2437-9057)
- Yunfei Cao (ORCID: https://orcid.org/0000-0002-3282-7796)
- Yongrong Shi (ORCID: https://orcid.org/0000-0002-9423-4523)
- Quan Xue (ORCID: https://orcid.org/0000-0002-4226-2127)
Institutions
- Shanghai Jiao Tong University (CN)
- Nanjing University of Posts and Telecommunications (CN)
- South China University of Technology (CN)
- Nanjing University of Aeronautics and Astronautics (CN)
Publication Details
- Journal
- IEEE Transactions on Microwave Theory and Techniques
- Published
- 2025-02-10
- DOI
- https://doi.org/10.1109/tmtt.2025.3536335
- Citations
- 1
- Primary Topic
- Microwave Engineering and Waveguides
- Type
- article
- Field-Weighted Citation Impact
- 0.73
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Guangdong Province
- Fundamental Research Funds for the Central Universities