Source Reconstruction in near Field Scanning using Inverse MoM for RFI Application

Hossein Rezaei*, Javad Meiguni, Morten Soerensen, Jun Fan, T. Jobava, Victor Khilkevich, Daryl G. Beetner, David Pommerenke

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review


The ability to predict the electric and magnetic fields generated by a component can solve many in-system interference problems before they occur. In this article, methods are presented to predict the high-frequency near electric and magnetic fields from a component using a method of moment approach. The current representation is estimated from a near electric-field scan by solving the electric field integral equation. The reconstruction method was validated with measurements of a test board containing a buffer integrated circuit. The current representation was shown to accurately predict fields at locations both above and to the side of the buffer with less than a 3.5-dB average error. Here, a near-field scan was only performed on a flat plane above the emitter and was used to predict sources to the side of the emitter. To accurately predict fields to the side of the emitter, the current representation must be defined on a surface between the emitter and the prediction location. An error analysis was performed to understand the impact of scan plane parameters, such as the size of the scan plane, the size of the current representation, and the relative distance between the current representation and the estimated fields on prediction accuracy.

Original languageEnglish
Article number9137683
Pages (from-to)1628 - 1636
Number of pages9
JournalIEEE Transactions on Electromagnetic Compatibility
Issue number4
Publication statusPublished - Aug 2020


  • current reconstruction
  • Inverse method of moment (MoM)
  • least square method (LSQ)
  • radio frequency interference (RFI)
  • least square method
  • method of moment (MoM)
  • Current reconstruction

ASJC Scopus subject areas

  • Safety, Risk, Reliability and Quality
  • Signal Processing
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering
  • Condensed Matter Physics
  • Atomic and Molecular Physics, and Optics

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