Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/137210
Title: M1-D FDTD methods for mobile interactive teaching and learning of wave propagation in transmission lines
Authors: Tan, Eng Leong
Heh, Ding Yu
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2019
Source: Tan, E. L., & Heh, D. Y. (2019). M1-D FDTD methods for mobile interactive teaching and learning of wave propagation in transmission lines. IEEE Antennas and Propagation Magazine, 61(5), 119-126. doi:10.1109/map.2019.2932305
Journal: IEEE Antennas and Propagation Magazine
Abstract: This article presents the multiple 1D finite-difference time-domain (M1-D FDTD) methods for mobile interactive teaching and learning of wave propagation in transmission lines (TLs). Both the M1-D explicit FDTD method and the unconditionally stable M1-D fundamental alternating direction-implicit (FADI) FDTD method are discussed. Using the M1-D FDTD methods, multiple TLs, stubs, and circuit elements can be simulated efficiently. They are readily implemented on mobile devices and applied for mobile interactive teaching and learning of TL topics, including wave reflections from stubs, standing waves, and impedance matching. These topics can be elucidated clearly through interactive visualizations on mobile devices. Using the unconditionally stable M1-D FADI-FDTD method, the simulation may be "fast-forwarded" with enhanced efficiency by using a time-step size larger than the stability constraint. Student surveys and tests demonstrated the effectiveness of the method.
URI: https://hdl.handle.net/10356/137210
ISSN: 1045-9243
DOI: 10.1109/MAP.2019.2932305
Schools: School of Electrical and Electronic Engineering 
Rights: © 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. The published version is available at: https://doi.org/10.1109/MAP.2019.2932305
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:EEE Journal Articles

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