Coupling Matrix Diagnosis by the Levenberg–Marquardt Algorithm With Homotopy Continuation

联轴节(管道) 同伦 基质(化学分析) 算法 同伦分析法 拓扑(电路) 滤波器(信号处理) 数学 Levenberg-Marquardt算法 控制理论(社会学) 计算机科学 工程类 人工神经网络 人工智能 材料科学 机械工程 控制(管理) 组合数学 纯数学 复合材料 计算机视觉
作者
Ping Zhao
出处
期刊:IEEE Transactions on Microwave Theory and Techniques [IEEE Microwave Theory and Techniques Society]
卷期号:72 (5): 3158-3171 被引量:5
标识
DOI:10.1109/tmtt.2023.3322746
摘要

This article introduces a novel coupling matrix diagnosis technique based on the Levenberg–Marquardt algorithm (LMA). Unlike many existing coupling matrix extraction approaches that involve fitting measurement or simulation data with rational functions, synthesizing a transversal coupling matrix, and transforming the matrix as intermediate steps, the proposed method can directly extract a lossy coupling matrix in the desired form together with frequency-dependent phase shift at ports. However, the direct LMA approach suffers from the issue of being trapped in a local minimum if the initial guess is far from the optimal solution. Therefore, the homotopy continuation method is introduced to alleviate the reliance on high-quality initial values. This article details the LMA formulation with the homotopy continuation for the coupling matrix diagnosis problem. Measurement data of a dual-mode rectangular waveguide filter and a filter with a second-order dangling network at one terminal are used to demonstrate the proposed technique In particular, coupling matrix diagnosis results with and without the homotopy method are presented. The comparison validates the effectiveness of the LMA with homotopy continuation. The proposed coupling matrix diagnosis technique applies to coupled-resonator networks of different types of resonators and coupling topologies.

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