Acceleration of Multilevel Characteristic Basis Function Method by Multilevel Multipole Approach

Chan Sun Park, Ic Pyo Hong, Yoon Jae Kim, Jong Gwan Yook

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


Multilevel characteristic basis function (CBF) method (MLCBFM) accelerated by multilevel multipoles will be presented in this article. The proposed algorithm starts from the conventional MLCBFM, rearrange CBFs for each level as multilevel aggregated CBFs. The algorithm not only reduces degrees of freedom of problems but also exploits hierarchical characteristics of divided geometries such as different truncation coefficients or sampling rates in each level of multipole expansions, which results in dramatic acceleration in analyzing electrically large structure. The results of the proposed method agree very well with exact solutions.

Original languageEnglish
Article number9099462
Pages (from-to)7109-7120
Number of pages12
JournalIEEE Transactions on Antennas and Propagation
Issue number10
Publication statusPublished - 2020 Oct

Bibliographical note

Funding Information:
Manuscript received July 15, 2019; revised April 13, 2020; accepted May 4, 2020. Date of publication May 25, 2020; date of current version October 6, 2020. This work was supported by the Agency for Defense Development under Contract UD170044JD. (Corresponding author: Jong-Gwan Yook.) Chan-Sun Park and Jong-Gwan Yook are with the School of Electrical and Electronic Engineering, Yonsei University, Seoul 03722, South Korea (e-mail: Ic-Pyo Hong is with the School of Information and Communication Engineering, Kongju National University, Chonan 31080, South Korea. Yoon-Jae Kim is with Agency for Defense Development, Daejeon 34060, South Korea. Color versions of one or more of the figures in this article are available online at Digital Object Identifier 10.1109/TAP.2020.2995421

Publisher Copyright:
© 2020 IEEE.

All Science Journal Classification (ASJC) codes

  • Electrical and Electronic Engineering


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