A Novel Combined Potential-Field Formulation for Densely Discretized Perfectly Conducting Objects

Eris O., Karaova G., Ergul Ö. S.

IEEE Transactions on Antennas and Propagation, vol.70, pp.4645-4654, 2022 (SCI-Expanded) identifier identifier

  • Publication Type: Article / Article
  • Volume: 70
  • Publication Date: 2022
  • Doi Number: 10.1109/tap.2022.3145425
  • Journal Name: IEEE Transactions on Antennas and Propagation
  • Journal Indexes: 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
  • Page Numbers: pp.4645-4654
  • Keywords: Integral equations, Magnetic resonance, Broadband communication, Boundary conditions, Magnetic domains, Electric potential, Standards, Broadband solvers, dense-discretization problems, potential integral equations (PIEs), surface integral equations, FAST MULTIPOLE METHOD, INTEGRAL-EQUATIONS, MAXWELL EQUATIONS, ALGORITHM, SCATTERING, MLFMA, EFIE, DIAGONALIZATION, PRECONDITIONER, SIMULATION
  • Middle East Technical University Affiliated: Yes


IEEEWe present a novel surface-integral-equation formulation that provides broadband solutions of electromagnetic problems involving perfectly conducting objects. The formulation, namely the combined potential-field formulation (CPFF), is based on a well-balanced combination of the conventional potential integral equations, the magnetic-field integral equation, and an additional potential integral equation involving magnetic vector potential. In addition to being stable for dense discretizations, CPFF is free of internal resonances, and it enables accurate and efficient solutions of large-scale closed conductors using conventional basis and testing functions. Numerical results demonstrate that CPFF clearly outperforms other formulations, including the popular combined-field integral equation, for densely discretized objects comparable to or larger than wavelength.