研究目的
To design compact substrate integrated waveguide (SIW) bandpass filters for millimeter-wave applications, focusing on miniaturization and performance enhancement.
研究成果
The proposed SIW bandpass filter structures demonstrate compact size, low loss, excellent stopband rejection, and good passband performance, making them suitable for millimeter-wave applications such as satellite transmission and communication systems. Future work could involve experimental fabrication and testing to validate the simulation results.
研究不足
The paper is based on numerical simulations only, without experimental validation. The structures are designed for specific frequencies (e.g., 22 GHz) and may not be optimized for other frequency ranges. Miniaturization is achieved but could be further improved, and real-world fabrication challenges are not addressed.
1：Experimental Design and Method Selection:
The design utilizes SIW technology with cruciform slots and ground vias to increase resonance frequencies and achieve miniaturization. Theoretical models based on rectangular cavity theory (e.g., resonant frequency formula) are employed. Simulations are conducted using High Frequency Structure Simulator (HFSS) software.
2：Sample Selection and Data Sources:
Substrates such as Si (dielectric constant 11.6), Al2O3, Rogers, and glass are considered, with specific examples using Si and glass substrates. Data is derived from eigenmode simulations in HFSS.
3：6), Al2O3, Rogers, and glass are considered, with specific examples using Si and glass substrates. Data is derived from eigenmode simulations in HFSS.
List of Experimental Equipment and Materials:
3. List of Experimental Equipment and Materials: HFSS software for simulation, substrates (e.g., Si, glass), vias, and cruciform slots. No specific hardware equipment is mentioned beyond simulation tools.
4：Experimental Procedures and Operational Workflow:
Models are created in HFSS with solution type set to eigenmode to solve for resonance frequencies. Parameters like cavity size, slot dimensions, and via diameters are adjusted to optimize filter performance (e.g., center frequency at 22 GHz, bandwidth of 1.4 GHz).
5：4 GHz).
Data Analysis Methods:
5. Data Analysis Methods: Simulation results are analyzed for performance metrics such as return loss (more than 20 dB in passband), stopband rejection (more than 50 dB below 18 GHz), and quality factors (Q values from eigenmode analysis).
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