一种新的水声目标辐射噪声特征提取模型

胡 桥; 郝保安; 吕林夏; 陈亚林; 孙 起

doi:10.11993/j.issn.1673-1948.2008.06.008

一种新的水声目标辐射噪声特征提取模型

doi: 10.11993/j.issn.1673-1948.2008.06.008

中国船舶重工集团公司第705研究所,陕西西安,710075

基金项目: 中国博士后科学基金资助项目（20060400303)

详细信息

作者简介:
胡桥(1977-), 男, 博士后, 研究方向为现代信号处理、水声目标检测及智能识别.

中图分类号: TN911.7; TN911.23
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- 文章访问数: 1870
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- 被引次数: 0
出版历程
- 收稿日期: 2008-03-26
- 修回日期: 2008-07-09
- 刊出日期: 2008-12-30

Feature Extraction Model for Underwater Target Radiated Noise

The 705 Research Institute, China Shipbuilding Industry Corporation, Xi′an 710075, China

摘要

摘要: 针对复杂环境中水声目标辐射噪声特征难以准确提取的问题，提出了一种新的基于第二代小波变换(SGWT)、改进的经验模式分解(EMD) 和Hilbert包络解调分析(HESA)的水声目标辐射噪声特征提取模型。首先，该模型利用SGWT滤除水声目标的非平稳辐射噪声信号中的噪声成分;其次，通过改进的EMD方法对滤波后的信号进行分解，提取信号的本征模式分量;最后，对这些本征模式分量进行HESA处理，从而实现辐射噪声特征的提取。将该模型应用在仿真和实测的水声目标辐射噪声数据的特征提取中，测试结果表明，同常规的小波滤波和HESA相比，该模型能够有效地提取出辐射噪声特征。
- 第2代小波变换(SGWT) /
- 改进的经验模式分解(EMD) /
- Hilbert包络解调分析(HESA) /
- 辐射噪声 /
- 特征提取
Abstract: Due to the difficulty of correctly extracting the features of underwater target radiated noise in complicated environment, a novel feature extraction model for underwater target radiated noise (UTRN) was proposed based on second generation wavelet transform (SGWT), improved empirical mode decomposition (EMD) and Hilbert envelope spectrum analysis (HESA). Firstly, the nonstationary UTRN was filtered via SGWT to remove the noise components. Secondly, with the improved EMD, the filtered UTRN was decomposed to obtain the intrinsic mode functions (IMFs). Finally, the features of UTRN could be extracted by HESA of the IMFs. This proposed model was applied to the feature extraction of simulation signal and real radiated-noise data of underwater targets, and the results show that this model can more effectively extract the features from the radiated noise data, compared with the conventional wavelet filtration and HESA.
- second generation wavelet transform(SGWT) /
- improved empirical mode decomposition(EMD) /
- Hilbert envelope spectrum analysis(HESA) /
- radiated noise /
- feature extraction

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参考文献(13)

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