Broadband Analysis of Multiscale Electromagnetic Problems: Novel Incomplete-Leaf MLFMA for Potential Integral Equations

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Atıf İçin Kopyala

Khalichi B., ERGÜL Ö. S., Takrimi M., Erturk V. B.

IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION, cilt.69, sa.12, ss.9032-9037, 2021 (SCI-Expanded)

• Yayın Türü: Makale / Tam Makale
• Cilt numarası: 69 Sayı: 12
• Basım Tarihi: 2021
• Doi Numarası: 10.1109/tap.2021.3090574
• Dergi Adı: IEEE TRANSACTIONS ON ANTENNAS AND PROPAGATION
• Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Scopus, Academic Search Premier, PASCAL, Aerospace Database, Applied Science & Technology Source, Business Source Elite, Business Source Premier, Communication Abstracts, Compendex, Computer & Applied Sciences, INSPEC, Metadex, zbMATH, Civil Engineering Abstracts
• Sayfa Sayıları: ss.9032-9037
• Anahtar Kelimeler: Integral equations, Electric potential, Broadband antennas, Statistics, Sociology, Broadband communication, Memory management, Incomplete tree structures, low-frequency breakdown, multilevel fast multipole algorithm (MLFMA), multiscale electromagnetic problems, potential integral equations (PIEs), FAST MULTIPOLE ALGORITHM, EFIE
• Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

Recently introduced incomplete tree structures for the magnetic-field integral equation are modified and used in conjunction with the mixed-form multilevel fast multipole algorithm (MLFMA) to employ a novel broadband incomplete-leaf MLFMA (IL-MLFMA) to the solution of potential integral equations (PIEs) for scattering/radiation from multiscale open and closed surfaces. This population-based algorithm deploys a nonuniform clustering that enables to use deep levels safely and, when necessary, without compromising the accuracy resulting in an improved efficiency and a significant reduction for the memory requirements (order of magnitudes), while the error is controllable. The superiority of the algorithm is demonstrated in several canonical and real-life multiscale geometries.