NDLI: Feature extraction of underwater low-velocity targets based on 1 1 over 2-spectrum

Content Provider	IEEE Xplore Digital Library
Author	Yongsheng Yan Haiyan Wang Xiaohong Shen
Copyright Year	2010
Description	Author affiliation: College of Marine Engineering, Northwestern Polytechnical University, Xi'an, China (Yongsheng Yan; Haiyan Wang; Xiaohong Shen)
Abstract	The feature extraction and target recognition of low-velocity targets near the port is difficult in signal processing. After the spectral characteristics of low-velocity targets are analyzed, the paper uses 1 1 over 2-spectrum as the method of feature extraction. The advantages are as follow. 1 1 over 2-spectrum can suppress the Gaussian white noise. It can enhance weak fundamental frequency components of harmonic signal and extract quadratic phase coupling components. In view of the advantages mentioned above, the paper applies 1 1 over 2-spectrum based on higher order statistics to the feature extraction of low-velocity targets for the first time. A 20-dimensional feature vector is extracted by using 1 1 over 2-spectrum sub-band energy method. High and low velocity targets are classified with the use of BP neutral network. The results show that the average recognition rate is more than 85%. It is concluded that the method of 1 1 over 2-spectrum is effective to distinguish high-velocity targets with low-velocity ones.
Starting Page	240
Ending Page	243
File Size	653123
Page Count	4
File Format	PDF
ISBN	9781424479573
e-ISBN	9781424479580
DOI	10.1109/CMCE.2010.5609863
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-08-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	BP neutral network Noise Low-velocity targets recognition 1 1 over 2-spectrum Higher order statistics
Content Type	Text
Resource Type	Article

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