Numerical modeling for the localization and the assessment of electromagnetic field sources

Author

Fiori, S. ; Faba, A. ; Albini, L. ; Cardelli, E. ; Burrascano, P.

Author_Institution

Dept. of Ind. Eng., Univ. of Perugia, Italy

Volume

39

Issue

3

fYear

2003

fDate

5/1/2003 12:00:00 AM

Firstpage

1638

Lastpage

1641

Abstract

In this work, we present a possible approach to electromagnetic source localization using a hybrid blind separation-minimum search inversion algorithm. The total electrical field versus time, emitted by the working antennas located at different and unknown geographical positions, is used, via a suitable blind signal processing technique based on neural networks, to reconstruct each separate contribute. When the emitted electric signals have been separated for each emitting antenna, the unknown locations of the antennas are determined with a minimum-search numerical technique.

Keywords

antenna theory; blind source separation; electromagnetic field theory; inverse problems; neural nets; antenna electric field; blind signal processing; electromagnetic field source localization; hybrid blind separation-minimum search inversion algorithm; neural network; nonlinear propagation model inversion; numerical model; Antennas and propagation; Electromagnetic fields; Electromagnetic measurements; Electromagnetic modeling; Independent component analysis; Neural networks; Numerical models; Pollution measurement; Signal processing algorithms; Source separation;

fLanguage

English

Journal_Title

Magnetics, IEEE Transactions on

Publisher

ieee

ISSN

0018-9464

Type

jour

DOI

10.1109/TMAG.2003.810384

Filename

1198544