EMI Prediction of Multiple Radiators

Meiguni, Javad Soleiman; Zhang, Wei; Soerensen, Morten; Ghosh, Kaustav; Hosseinbeig, Ahmad; Patnaik, Abhishek; Pommerenke, David; Rollin, Jacques; Li, Jing; Liu, Qian; Sochoux, Philippe

doi:10.1109/temc.2019.2914240

Cited by 11 publications

(10 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The 3D radiation pattern of a single optical module was measured as depicted in Figure 25(b). Statistical analysis and simulation were then performed to fast estimate the E field emission from multiple radiators without running actual hardware testing [12,13].…”

Section: Multiple Emi Radiatorsmentioning

confidence: 99%

“…The phased array antenna theory and Monte Carlo simulation were utilized to perform the statistical analysis [12]. A tendency of 10logN (dB) was found for the maximum electric field emission from a system with radiators at the same frequency with random phase distribution, where N is the number of radiators.…”

Section: Multiple Emi Radiatorsmentioning

confidence: 99%

“…When the number of line cards increases, the measurement result starts to deviate slightly from the estimation. The reason given in [12] is that more line cards meant a higher probability of missing the maximum electric field in the measurement, depending on the radiation pattern of the receiving horn antenna.…”

Section: Multiple Emi Radiatorsmentioning

confidence: 99%

“…Another problem with large amounts of radiators in a complex system is the required hardware and testing time for EMC regulation tests. Hence, the authors in [12,13] derived a mathematical relation using statistical analysis to fast predict the maximum radiation from a large system with numerous similar sub-systems, with a level of certainty provided. Also, measurements were performed to validate the estimation.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

High-Frequency Electromagnetic Interference Diagnostics

Zhang¹,

Feng²,

Fan³

et al. 2022

Electromagnetic Wave Propagation for Industry and Biomedical Applications

View full text Add to dashboard Cite

Electromagnetic interference (EMI) is becoming more troublesome in modern electronic systems due to the continuous increase of communication data rates. This chapter reviews some new methodologies for high-frequency EMI diagnostics in recent researches. Optical modules, as a typical type of gigahertz radiator, are studied in this chapter. First, the dominant radiation modules and EMI coupling paths in an explicit optical module are analyzed using simulation and measurement techniques. Correspondingly, practical mitigation approaches are proposed to suppress the radiation in real product applications. Moreover, an emission source microscopy (ESM) method, which can rapidly localize far-field radiators, is applied to diagnose multiple optical modules and identify the dominant sources. Finally, when numerous optical modules work simultaneously in a large network router, a formula based on statistical analysis can estimate the maximum far-field emission and the probability of passing electromagnetic compatibility (EMC) regulations. This chapter reviews a systematic procedure for EMI diagnostics at high frequencies, including EMI coupling path analysis and mitigation, emission source localization, and radiation estimation using statistical analysis.

show abstract

Section: Multiple Emi Radiatorsmentioning

confidence: 99%

Section: Multiple Emi Radiatorsmentioning

confidence: 99%

Section: Multiple Emi Radiatorsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

High-Frequency Electromagnetic Interference Diagnostics

Zhang¹,

Feng²,

Fan³

et al. 2022

Electromagnetic Wave Propagation for Industry and Biomedical Applications

View full text Add to dashboard Cite

show abstract

“…The SWE method is very efficient and accurate [2, 3], thus it could be iteratively applied using an optimisation algorithm or, alternatively, using an artificial intelligence process to identify the best tray settings and the best rack assembly that minimises the overall rack radiation. The work described in this paper investigates the possibility of applying the SWE method, differently from its typical application for far‐field (FF) reconstruction from near‐field (NF) measurements of antennas or large arrays [4–6], in order to have an alternative and more accurate way, with respect to other techniques [7, 8], to predict EMI radiation. The SWE technique is applied to the tangential electric field (E‐field) detected on a surface surrounding the tray under test to evaluate the spherical wave coefficients associated to each source [1–4].…”

Section: Introductionmentioning

confidence: 99%