Please use this identifier to cite or link to this item: http://hdl.handle.net/2122/7207
AuthorsDecherchi, S.* 
Leoncini, D.* 
Gastaldo, P.* 
Zunino, R.* 
Faggioni, O.* 
Soldani, M.* 
TitleComputational Intelligence Methods for Underwater Magnetic-based Protection Systems
Issue Date31-Jul-2011
URIhttp://hdl.handle.net/2122/7207
Keywordsunderwater detection systems
port protection
magnetic signal processing
Support Vector Machine
Subject Classification04. Solid Earth::04.05. Geomagnetism::04.05.04. Magnetic anomalies 
04. Solid Earth::04.05. Geomagnetism::04.05.08. Instruments and techniques 
05. General::05.01. Computational geophysics::05.01.01. Data processing 
05. General::05.01. Computational geophysics::05.01.05. Algorithms and implementation 
AbstractMagnetic-based detection technologies for undersea protection systems are very effective in monitoring critical areas where weak signal sources are difficult to identify (e.g. diver intrusion in proximity of the seafloor). The complexity of the involved geomagnetic phenomena and the nature of the target detection strategy require the use of adaptive methods for signal processing. The paper shows that Computational Intelligence (CI) models can be integrated with those magnetic-based technologies, and presents an effective, reliable system for adaptive undersea protection. Two different CI paradigms are successfully tested for the specific application task: Circular BackPropagation (CBP) and Support Vector Machines (SVMs). Experimental results on real data prove the advantage of the integrated approach over existing conventional methods. Individual CI components and the overall detection system have been verified in real experiments.
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