Numerical modeling for the localization and the assessment of electromagnetic field sources
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 suit...
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| Veröffentlicht in: | IEEE transactions on magnetics 2003-05, Vol.39 (3), p.1638-1641 |
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| container_title | IEEE transactions on magnetics |
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| creator | Fiori, S. Faba, A. Albini, L. Cardelli, E. Burrascano, P. |
| description | 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. |
| doi_str_mv | 10.1109/TMAG.2003.810384 |
| format | Article |
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| ispartof | IEEE transactions on magnetics, 2003-05, Vol.39 (3), p.1638-1641 |
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| subjects | Antennas and propagation Applied classical electromagnetism Electromagnetic fields Electromagnetic measurements Electromagnetic modeling Electromagnetic wave propagation, radiowave propagation Electromagnetism electron and ion optics Exact sciences and technology Fundamental areas of phenomenology (including applications) Independent component analysis Magnetism Neural networks Numerical models Physics Pollution measurement Signal processing algorithms Source separation |
| title | Numerical modeling for the localization and the assessment of electromagnetic field sources |
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