IEEE - Institute of Electrical and Electronics Engineers, Inc. - Machine Learning Based Source Reconstruction for RF Desense

Author(s): Qiaolei Huang ; Jun Fan
Sponsor(s): IEEE Electromagnetic Compatibility Society
Publisher: IEEE - Institute of Electrical and Electronics Engineers, Inc.
Publication Date: 1 December 2018
Volume: 60
Page(s): 1,640 - 1,647
ISSN (Electronic): 1558-187X
ISSN (Paper): 0018-9375
DOI: 10.1109/TEMC.2018.2797132
Regular:

In radio frequency interference study, equivalent dipole moments are widely used to reconstruct real radiation noise sources. Previous reconstruction methods, such as least square method (LSQ) and... View More

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