An estimation method of magnetic coupling coefficient between two microstrip lines using machine leaning of near field information

Yusuke Sato, Sho Muroga, Hidefumi Kamozawa, Motoshi Tanaka

研究成果: 書籍の章/レポート/Proceedings会議への寄与査読

抄録

An estimation method of magnetic coupling coefficients between printed-circuit-board-level traces using a near field information was investigated. Parallel two microstrip lines (MSLs) with different distances between the lines were used as a test bench. The current flowing in a signal line and its return current was modeled as a simple one-turn equivalent loop current model. First, a one-dimensional convolutional neural network (CNN) for regression prediction was trained with the theoretical values of the magnetic near-field distribution generated from the loop current model. Next, the simulated magnetic near-field distributions above the parallel two MSLs at 1 GHz were input to the trained CNN to estimate the geometry of the loop current models. The magnetic coupling coefficient between MSLs is estimated through calculating the coupled magnetic flux between the estimated loop current models. The estimated results agreed with the simulation results within 10%, indicating the feasibility of the magnetic field coupling by the proposed method.

本文言語英語
ホスト出版物のタイトル2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Proceedings
出版社Institute of Electrical and Electronics Engineers Inc.
ISBN(電子版)9798350338362
DOI
出版ステータス出版済み - 2023
イベント2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Sendai, 日本
継続期間: 2023 5月 152023 5月 19

出版物シリーズ

名前2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023 - Proceedings

会議

会議2023 IEEE International Magnetic Conference - Short Papers, INTERMAG Short Papers 2023
国/地域日本
CitySendai
Period23/5/1523/5/19

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