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Proceedings Paper

Study on the feature extraction and classification of underwater target radiated noise based on bispectrum
Author(s): Yuan Peng; Lin Cao; Lin Mu; Fengzhen Zhang; Zhaohui Zhang
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Paper Abstract

The radiated noise of underwater targets apparently consists of non-Gaussian ingredients. In the paper, based on plenty of radiated noise data, non-Gaussian feature of target signals is studied via high-order cumulates. Then, from Bispectrum estimation and WALSH dimensionality reduction, 65 dimensional Bispectrum feature from different kind of targets is extracted. The results show that the approach can efficiently classify underwater targets, and the colored Gaussian noise is restrained. The ration of recognition can arrive 92% toward three different kinds of underwater targets.

Paper Details

Date Published: 3 December 2015
PDF: 5 pages
Proc. SPIE 9794, Sixth International Conference on Electronics and Information Engineering, 97941M (3 December 2015); doi: 10.1117/12.2203193
Show Author Affiliations
Yuan Peng, Science and Technology on Underwater Test and Control Lab. (China)
Lin Cao, Science and Technology on Underwater Test and Control Lab. (China)
Lin Mu, Science and Technology on Underwater Test and Control Lab. (China)
Fengzhen Zhang, Science and Technology on Underwater Test and Control Lab. (China)
Zhaohui Zhang, Science and Technology on Underwater Test and Control Lab. (China)


Published in SPIE Proceedings Vol. 9794:
Sixth International Conference on Electronics and Information Engineering
Qiang Zhang, Editor(s)

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