In this paper 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 to reconstruct each separate contribute via a suitable neural network technique. When the emitted electric field and the related base frequencies have been separated for each emitting antenna, the unknown location of each emitter, is determined with a minimum-search numerical technique. The theory here presented has been applied with success to a practical problem dealing with amplitude-modulated ratio-transmissions.
Neural blind separation for electromagnetic source localization and assessment / L., Albini; P., Burrascano; E., Cardelli; A., Faba; Fiori, Simone. - 1:(2002), pp. 406-411.
Neural blind separation for electromagnetic source localization and assessment
FIORI, Simone
2002-01-01
Abstract
In this paper 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 to reconstruct each separate contribute via a suitable neural network technique. When the emitted electric field and the related base frequencies have been separated for each emitting antenna, the unknown location of each emitter, is determined with a minimum-search numerical technique. The theory here presented has been applied with success to a practical problem dealing with amplitude-modulated ratio-transmissions.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
