Cross-Coupling Matrix Reconfiguration Using the Levenberg–Marquardt Algorithm on Orthogonal Groups

This letter introduces a Levenberg-Marquardt (LM) algorithm on the orthogonal group to reconfigure the coupling matrix (CM) for cross-coupled resonator filters of general topology. By leveraging the framework of Lie groups and the exponential map, we perform LM steps locally in the linear space of skew-symmetric matrices, the Lie algebra associated with the orthogonal group. In each LM step, we derive and explicitly formulate a regularized least-squares (LSs) problem in matrix-vector form, and then map the solution back to the orthogonal matrix to transform the CM toward the one with the desired structure. In addition, we integrate the proposed LM algorithm with homotopy optimization to enhance global convergence, particularly for lossy CM reconfiguration. The proposed algorithm demonstrates fast convergence and high accuracy, as evidenced by the results of filter synthesis and fabrication.

Authors

Institutions

Publication Details

Journal
IEEE Microwave and Wireless Technology Letters
Published
2025-02-13
DOI
https://doi.org/10.1109/lmwt.2025.3536502
Citations
1
Primary Topic
Matrix Theory and Algorithms
Type
article
Field-Weighted Citation Impact
1.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Cross-Coupling Matrix Reconfiguration Using the Levenberg–Marquardt Algorithm on Orthogonal Groups

Yingjie Di, X. Wang, Hai Fei Ding
1 citations
IEEE Microwave and Wireless Technology Letters
Matrix Theory and Algorithms
1.50
article

Cross-Coupling Matrix Reconfiguration Using the Levenberg–Marquardt Algorithm on Orthogonal Groups

Yingjie Di, X. Wang, Hai Fei Ding
article en
1 citations

Abstract

This letter introduces a Levenberg-Marquardt (LM) algorithm on the orthogonal group to reconfigure the coupling matrix (CM) for cross-coupled resonator filters of general topology. By leveraging the framework of Lie groups and the exponential map, we perform LM steps locally in the linear space of skew-symmetric matrices, the Lie algebra associated with the orthogonal group. In each LM step, we derive and explicitly formulate a regularized least-squares (LSs) problem in matrix-vector form, and then map the solution back to the orthogonal matrix to transform the CM toward the one with the desired structure. In addition, we integrate the proposed LM algorithm with homotopy optimization to enhance global convergence, particularly for lossy CM reconfiguration. The proposed algorithm demonstrates fast convergence and high accuracy, as evidenced by the results of filter synthesis and fabrication.

IEEE Microwave and Wireless Technology LettersVol. 35(4)
Comba (China) (CN), Beijing Information Science & Technology University (CN)
Openalex Percentile: Top 20%
Matrix Theory and Algorithms
1.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Cross-Coupling Matrix Reconfiguration Using the Levenberg–Marquardt Algorithm on Orthogonal Groups — Yingjie Di, X. Wang, et al. · IEEE Microwave and Wireless Technology Letters (2025) | TGRS Research Map | TGRS