Cascaded microwave networks numerical analysis methods based on the strong coupling mechanism

Area of Science:

• Electrical Engineering
• Electromagnetics
• Microwave Engineering

Background:

• Traditional cascade theory struggles with computational accuracy in strongly coupled cascaded microwave networks (SCCMN).
• Electromagnetic coupling effects degrade accuracy in microwave network analysis algorithms for SCCMN.

Purpose of the Study:

• To present a novel coupling cascaded method (CCM) for addressing accuracy degradation in SCCMN analysis.
• To propose a binary interpolation coupling cascaded method (BICCM) for enhanced computational accuracy in SCCMN with identical elements.
• To introduce a coupling degradation method for balancing accuracy and simulation time in BICCM.

Main Methods:

• Development of a novel coupling cascaded method (CCM).
• Innovation of a binary interpolation coupling cascaded method (BICCM) based on CCM.
• Implementation of a coupling degradation method within BICCM.

Main Results:

• CCM significantly enhanced correlation coefficients for S11 (13.47%) and S21 (7.49%) scattering parameters compared to traditional cascade theory (TCT).
• BICCM without coupling degradation improved S21 scattering parameter correlation by 30.7% compared to BICCM with maximum degradation.
• Demonstrated improved accuracy and a balance between computational accuracy and simulation time.

Conclusions:

• The proposed CCM and BICCM offer enhanced computational accuracy for SCCMN.
• The coupling degradation method provides a viable trade-off between accuracy and simulation efficiency.
• Findings offer new methodologies for microwave network analysis and cascade design of microwave devices.