[1]卜英勇,张超,聂双双..基于离散小波变换的水下回波信号尾波包络特征提取[J].郑州大学学报(工学版),2007,28(04):80-83.[doi:10.3969/j.issn.1671-6833.2007.04.020]
　Bu Yingyong,ZHANG Chao,Nie Shuangshuang.Underwater echo signal wake envelope feature extraction based on discrete wavelet transform[J].Journal of Zhengzhou University (Engineering Science),2007,28(04):80-83.[doi:10.3969/j.issn.1671-6833.2007.04.020]
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基于离散小波变换的水下回波信号尾波包络特征提取()
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《郑州大学学报(工学版)》[ISSN:1671-6833/CN:41-1339/T]

卷:
28
期数:
2007年04期
页码:
80-83
栏目:
出版日期:
1900-01-01

文章信息/Info

Title:
Underwater echo signal wake envelope feature extraction based on discrete wavelet transform

作者:
卜英勇; 张超; 聂双双.
中南大学,机电工程学院,湖南,长沙,410083, 中南大学,机电工程学院,湖南,长沙,410083, 中南大学,机电工程学院,湖南,长沙,410083
Author(s):
Bu Yingyong; ZHANG Chao; Nie Shuangshuang
关键词:
小波变换;  尾波;  包络特征;  目标分类
Keywords:
wavelet transform;  Wake;  Envelope features;  Target classification
DOI:
10.3969/j.issn.1671-6833.2007.04.020
文献标志码:
A
摘要:
提出一种水下目标回波的特征提取方法.该方法在离散小波变换的基础上,基于回波信号中的散射成分可以对水下底质进行分类的理论基础,提取水下回波信号尾波包络特征作为识别特征矢量,构成基于尾波包络特征的特征空间,再采用最佳鉴别矢量法将特征空间进行特征压缩,最后利用最小距离分类器对目标回波进行分类.实测数据结果表明,采用这种方法得到的包络特征是一种稳健、有效的特征,能够获得较高的正确识别率.
Abstract:

A feature extraction method for underwater target echoes is proposed. Based on the discrete wavelet transform, this method can classify the underwater substrate based on the scattering components in the echo signal, extract the underwater echo signal wake envelope feature as the identification feature vector, constitute the feature space based on the wake envelope feature, and then use the best identification vector method to compress the feature space, and finally use the minimum distance classifier to classify the target echo. The measured data show that the envelope feature obtained by this method is a robust and effective feature, which can obtain a high correct recognition rate.

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更新日期/Last Update: 1900-01-01