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A near-field measurement based method for predicting field emissions below 30 MHz in a CISPR-25 test set-up
- Source :
- Advances in Radio Science, Vol 14, Pp 147-154 (2016)
- Publication Year :
- 2016
- Publisher :
- Copernicus Publications, 2016.
-
Abstract
- Automotive electric components are required to pass radiated emission tests. According to CISPR-25 standard (ALSE method), an expensive anechoic chamber is needed for conducting the field emission testing. Reproducibility due to high sensitivity to chamber and setup details is poor. Alternative methods, which perform measurements without using a chamber are preferred. This paper provides an alternative pre-compliance method for predicting the fields of CISPR-25 results for frequencies below 30 MHz, based mainly on electric near-field measurements. The motivation is that common-mode current measurements or magnetic near-field measurement based methods give good field prediction above 30 MHz, but fail below 30 MHz. The proposed method applies Huygens' Principle for field prediction. The electric field distribution for the defined Huygens' surface and the equivalent currents are estimated from a small number of field measurements close to the ground plane. It is shown that the electric field can be well predicted, compared with a full-wave simulation the deviation is within 4 dB, compared with a standard antenna measurement up to 3 MHz the deviation is less than 1 dB.
- Subjects :
- Reproducibility
Engineering
Anechoic chamber
Field (physics)
business.industry
Acoustics
Antenna measurement
020206 networking & telecommunications
Near and far field
02 engineering and technology
General Medicine
lcsh:TA1-2040
Electric field
0202 electrical engineering, electronic engineering, information engineering
Electronic engineering
business
lcsh:Engineering (General). Civil engineering (General)
Sensitivity (electronics)
Ground plane
Subjects
Details
- Language :
- German
- ISSN :
- 16849973 and 16849965
- Volume :
- 14
- Database :
- OpenAIRE
- Journal :
- Advances in Radio Science
- Accession number :
- edsair.doi.dedup.....9ae64d5e2b7919f54eaff517a919e307