This paper shows the result obtained during the operative test of an anti-intrusion undersea magnetic system based on a magnetometers' new self-informed network. The experiment takes place in a geomagnetic space characterized by medium-high environmental noise with a relevant human origin magnetic noise component. The system has two different input signals: the magnetic background field (natural + artificial) and a signal composed by the magnetic background field and the signal due to the target magnetic field. The system uses the first signal as filter for the second one to detect the target magnetic signal. The effectiveness of the procedure is related to the position of the magnetic field observation points (reference devices and sentinel devices). The sentinel devices must obtain correlation in the noise observations and de-correlations in the target signal observations. The system, during four tries of intrusion, has correctly detected all magnetic signals generated by divers. © 2009 Springer-Verlag Berlin Heidelberg.
CITATION STYLE
Faggioni, O., Soldani, M., Gabellone, A., Maggiani, P., & Leoncini, D. (2009). Development of anti intruders underwater systems: Time domain evaluation of the self-informed magnetic networks performance. In Advances in Soft Computing (Vol. 53, pp. 100–107). https://doi.org/10.1007/978-3-540-88181-0_13
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