A Flexible Design Cross-Coupled SIW Bandpass Filter With Different Path Loads Using Mixed-Coupling Topology.
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| Title: | A Flexible Design Cross-Coupled SIW Bandpass Filter With Different Path Loads Using Mixed-Coupling Topology. |
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| Authors: | Mishra, Govind Kumar1 (AUTHOR), Pandey, Hemendra Kumar2 (AUTHOR) hkpandey@vecc.gov.in, Pathak, Nagendra Prasad1 (AUTHOR) nagendra.pathak@ece.iitr.ac.in, Habib, Mohammad Rezwan (AUTHOR) mohabib@wiley.com |
| Source: | International Journal of RF & Microwave Computer-Aided Engineering. 1/9/2026, Vol. 2025, p1-10. 10p. |
| Subjects: | Bandpass filters, Substrate integrated waveguides, Modular design, Transmission zeros |
| Abstract: | This paper presents an innovative coupling design for a bandpass substrate integrated waveguide (SIW) filter, enabling high selectivity and facilitating flexible design. The proposed filter design has two parts: one is a mixed coupling structure, and the second part is a cross-coupling path. Both parts contribute to transmission zero (TZ) near the passband. Cross-coupling creates TZ, while mixed-coupling offers TZ and filter design flexibility. The cross-coupled path is analyzed in three configurations: without a load, with an inductive load, and with a capacitive load. To demonstrate this, three filter designs are simulated and fabricated based on the type of path load. The filter achieves center frequencies near 27 GHz with a fractional bandwidth exceeding 3%. Four to five TZs are introduced to enhance selectivity. Key performance metrics include a return loss exceeding 15 dB within the passband and an insertion loss between 1.65 and 2.1 dB. The measured results align with the simulated results, validating the structure and theory of the cross-coupled load. [ABSTRACT FROM AUTHOR] |
| Copyright of International Journal of RF & Microwave Computer-Aided Engineering is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
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