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Data Processing Mechanism and Algorithm Optimization for Radiated Emission Measurement of Electronic and Electrical Equipment

Title: Data Processing Mechanism and Algorithm Optimization for Radiated Emission Measurement of Electronic and Electrical Equipment
Authors: Zhou, Yi; Zhang, Ying; Murong, Haoding; Liang, Chengbo; Xie, Jinxiong; Xu, Beibei
Source: Journal of Physics: Conference Series ; volume 2170, issue 1, page 012014 ; ISSN 1742-6588 1742-6596
Publisher Information: IOP Publishing
Publication Year: 2022
Description: Radiated emission is one of the most important measurement items in the field of electromagnetic compatibility. The measured value of field strength often deviates from the real value to a certain extent. According to the characteristics of typical log-periodic dipole array antenna, the relation between antenna resonance unit and frequency, as well as the position relation between phase center and calibration reference point, the calculation formula of field strength correction factor is derived. The correction factor of field strength in the 30MHz-1GHz is also calculated precisely. The data processing mechanism of radiated emission measurement is clarified. An optimization algorithm for the measurement of radiated emission is obtained eventually. After the test value is optimized by the correction factor, more accurate field strength can be obtained. The optimization interval is within (-0.348, 2.741) dB. As a data processing mechanism of the radiated disturbance, it can not only improve the accuracy of measurement, but also reduce the uncertainty and error.
Document Type: article in journal/newspaper
Language: unknown
DOI: 10.1088/1742-6596/2170/1/012014
DOI: 10.1088/1742-6596/2170/1/012014/pdf
Availability: https://doi.org/10.1088/1742-6596/2170/1/012014; https://iopscience.iop.org/article/10.1088/1742-6596/2170/1/012014; https://iopscience.iop.org/article/10.1088/1742-6596/2170/1/012014/pdf
Rights: http://creativecommons.org/licenses/by/3.0/ ; https://iopscience.iop.org/info/page/text-and-data-mining
Accession Number: edsbas.5E232E09
Database: BASE