Classification of ship-radiated signals via chaotic features
Classification of ship-radiated signals via chaotic features
- Author(s): Su Yang and Zhishun Li
- DOI: 10.1049/el:20030258
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- Author(s): Su Yang 1 and Zhishun Li 2
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View affiliations
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Affiliations:
1: Department of Computer Science and Engineering & Lab of Intelligent Information Processing, Shanghai, P.R. China
2: College of Marine Engineering & State Key Lab of Underwater Information Processing and Control, Northwestern Polytechnical University, Xi'an, P.R. China
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Affiliations:
1: Department of Computer Science and Engineering & Lab of Intelligent Information Processing, Shanghai, P.R. China
- Source:
Volume 39, Issue 4,
20 February 2003,
p.
395 – 397
DOI: 10.1049/el:20030258 , Print ISSN 0013-5194, Online ISSN 1350-911X
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.
Inspec keywords: ships; acoustic signal detection; chaos; signal classification; underwater sound
Other keywords:
Subjects: Theory and models of chaotic systems; Underwater sound; Acoustic signal processing; Sonar and acoustic radar; Signal detection
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