Generalized Scattering Matrix of Antenna: Moment Solution, Compression Storage, and Application

This paper presents a computation method of generalized scattering matrix (GSM) based on integral equations and the method of moments (MoM), specifically designed for antennas excited through waveguide ports. By leveraging two distinct formulations—magnetic-type and electric-type integral equations—we establish concise algebraic relations linking the GSM directly to the impedance matrices obtained from MoM. To address practical challenges in storing GSM data across wide frequency bands and multiple antenna scenarios, we propose a efficient compression scheme. This approach alleviates memory demands by selectively storing the dominant eigencomponents that govern scattering behavior. Numerical validation examples confirm the accuracy of our method by comparisons with full-wave simulation results. Furthermore, we introduce an efficient iterative procedure to predict antenna array performance, highlighting remarkable improvements in computational speed compared to conventional numerical methods. These results collectively demonstrate the GSM framework’s strong potential for antenna-array design processes.

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Publication Details

Journal
IEEE Transactions on Antennas and Propagation
Published
2025-05-02
DOI
https://doi.org/10.1109/tap.2025.3564775
Citations
1
Primary Topic
Antenna Design and Analysis
Type
article
Field-Weighted Citation Impact
4.99

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article

Generalized Scattering Matrix of Antenna: Moment Solution, Compression Storage, and Application

Jin Pan, Chenbo Shi, Shichen Liang, Le Zuo et al.
1 citations
IEEE Transactions on Antennas and Propagation
Antenna Design and Analysis
4.99
article

Generalized Scattering Matrix of Antenna: Moment Solution, Compression Storage, and Application

Jin Pan, Chenbo Shi, Shichen Liang, Le Zuo, Xin Gu
article en
1 citations

Abstract

This paper presents a computation method of generalized scattering matrix (GSM) based on integral equations and the method of moments (MoM), specifically designed for antennas excited through waveguide ports. By leveraging two distinct formulations—magnetic-type and electric-type integral equations—we establish concise algebraic relations linking the GSM directly to the impedance matrices obtained from MoM. To address practical challenges in storing GSM data across wide frequency bands and multiple antenna scenarios, we propose a efficient compression scheme. This approach alleviates memory demands by selectively storing the dominant eigencomponents that govern scattering behavior. Numerical validation examples confirm the accuracy of our method by comparisons with full-wave simulation results. Furthermore, we introduce an efficient iterative procedure to predict antenna array performance, highlighting remarkable improvements in computational speed compared to conventional numerical methods. These results collectively demonstrate the GSM framework’s strong potential for antenna-array design processes.

IEEE Transactions on Antennas and PropagationVol. 73(8)
University of Electronic Science and Technology of China (CN), China Electronics Technology Group Corporation (CN)
Chinese Aeronautical Establishment
Affordable and clean energy
Openalex Percentile: Top 6%
Antenna Design and Analysis
4.99
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Generalized Scattering Matrix of Antenna: Moment Solution, Compression Storage, and Application — Jin Pan, Chenbo Shi, et al. · IEEE Transactions on Antennas and Propagation (2025) | TGRS Research Map | TGRS