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  4. Identification of critical frequencies in wideband near-field spatial scans
 
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Identification of critical frequencies in wideband near-field spatial scans

Publikationstyp
Journal Article
Date Issued
2026-03-31
Sprache
English
Author(s)
Monopoli, Tomas  
Wu, Xinglong  
Yang, Cheng  
Theoretische Elektrotechnik E-18  
Schuster, Christian  
Theoretische Elektrotechnik E-18  
Pignari, Sergio Amedeo  
Wolf, Johannes  
Grassi, Flavia  
TORE-URI
https://hdl.handle.net/11420/62711
Journal
IEEE transactions on electromagnetic compatibility  
Citation
IEEE Transactions on Electromagnetic Compatibility (in Press): (2026)
Publisher DOI
10.1109/TEMC.2026.3673588
Scopus ID
2-s2.0-105034764834
Publisher
Institute of Electrical and Electronics Engineers Inc.
Identifying critical frequencies of a device under test (DUT) from its near-field scans is an essential step in integrating near-field scanning into electromagnetic compatibility (EMC) testing. Indeed, real electronic devices may exhibit radiated emissions at multiple frequencies, which are unknown a priori. To this end, three computational methods are introduced to identify the frequencies at which the DUT is radiating: the space-filled spectrogram analysis, the grey level co-occurrence matrix approach, and spatial fast Fourier transform approach. Although a single general solution is not provided, each method leverages different properties of the measurements to extract significant features and identify frequencies of interest. Therefore, the choice of which method to apply depends on the characteristics of the DUT and on the requirements of the specific measurement campaign. The proposed methods are evaluated on a common dataset, assessing their computational efficiency, sensitivity to patterns, and robustness against noise. Case studies demonstrate their successful application in real-world scenarios and their comparative analysis provides insights into selecting the most appropriate approach for a specific application.
Subjects
Infinitesimal dipole model
near-field scanning
printed circuit boards (PCB)
radiated emissions
spectral analysis
DDC Class
537: Electricity and Electronics
600: Technology
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