Title :
Classification of ship-radiated signals via chaotic features
Author :
Yang, Su ; Li, Zhishun
Author_Institution :
Dept. of Comput. Sci. & Eng., Lab. of Intelligent Inf. Process., Shanghai, China
fDate :
2/20/2003 12:00:00 AM
Abstract :
Nonlinear regularities in ship-radiated signals are studied and a chaotic feature is proposed for classification. Experimental results show that this feature is effective and outperforms the spectrum feature in identifying some classes. It can augment current solutions by providing complementary information viewed from a different point.
Keywords :
acoustic signal detection; chaos; ships; signal classification; underwater sound; chaotic features; complementary information; nonlinear regularities; ship-radiated signals; signal classification; spectrum feature; underwater sound;
Journal_Title :
Electronics Letters
DOI :
10.1049/el:20030258
