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Analyzing electromagnetic structures with curved boundaries on Cartesian FDTD meshes

Research output: Contribution to journalArticle

Original languageEnglish
Article number1
Pages82 - 88
Number of pages7
JournalIEEE Transactions on Microwave Theory and Techniques
Journal publication dateJan 1998
Volume46
Journal issue1
DOIs
StatePublished

Abstract

In this paper, a new finite-difference time-domain (FDTD) algorithm is investigated to analyze electromagnetic structures with curved boundaries using a Cartesian coordinate system. The new algorithm is based on a nonorthogonal FDTD method. However, only those cells near the curved boundaries are calculated by nonorthogonal FDTD formulas; most of the grid is orthogonal and can be determined by traditional FDTD formulas. Therefore, this new algorithm is more efficient than general nonorthogonal FDTD schemes in terms of computer resources such as memory and central processing unit (CPU) time. Simulation results are presented and compared to those using other methods

Additional information

Publisher: Insitute of Electrical and Electronics Engineers, Inc. (IEEE) Rose publication type: Journal article Sponsorship: The authors wish to thank the Committee of Vice-Chancellors and Principals in the United Kingdom for the provision of the ORS Award during the author Hao’s Ph.D. studies. They also wish to thank Prof. J. McGeehan for the provision of facilities at the Centre for Communications Research, Bristol, U.K. Terms of use: Copyright © 1998 IEEE. Reprinted from IEEE Transactions on Microwave Theory and Techniques. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the University of Bristol's products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.

Research areas

  • algorithms, FDTD methods

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