Source Identification of Electromagnetic Radiation in Electronic Circuits Using Artificial Neural Network

Aunchaleevarapan, K.; Intajag, S.; Khan-Ngern, W.; Preampaneerach, Y.; Teekaput, P.; Nitta, S.

doi:10.23919/EMC.2005.10806074

Source Identification of Electromagnetic Radiation in Electronic Circuits Using Artificial Neural Network

Author(s)

Aunchaleevarapan, K.

Intajag, S.

Khan-Ngern, W.

Preampaneerach, Y.

Teekaput, P.

Nitta, S.

Date Issued

January 1, 2005

Type

Conference Paper

DOI

10.23919/EMC.2005.10806074

Abstract

The Artificial Neural Network (ANN) is applied to recognize different models of a dipole-like antenna and a loop-like antenna using its radiated emission patterns, which are radiated from the electronic circuits. The radiated patterns, which are detected through the monitoring of the amplitude emitting from the antenna-like structures, are used to train the ANN. The electronic circuits (source) have various configurations that provide the different patterns; however, the trained ANN can identify the configurations all of those structure-like antennae from the radiated emission pattern measurements.

Citation

Proceedings of the 16th International Zurich Symposium on Electromagnetic Compatibility EMC 2005, 289-294, 2005