文章摘要
柳革命,杨益新.目标噪声响度特征提取技术研究[J].声学技术,2011,(4):336~339
目标噪声响度特征提取技术研究
Loudness feature extraction of underwater passive sonar targets
投稿时间:2009-12-15  修订日期:2010-03-27
DOI:
中文关键词: 响度  特征提取  被动声纳目标识别
英文关键词: loundness  feature extraction  passive sonar target recognition
基金项目:
作者单位E-mail
柳革命 空军工程大学理学院, 西安 710051 liugm97@nwpu.edu.cn 
杨益新 西北工业大学声学工程研究所, 西安 710077  
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中文摘要:
      考虑声纳员听音判型过程中,目标噪声的响度变化是其判型的重要依据,计算目标噪声信号的响度,提取其响度特征,基于响度特征对三类目标进行分类识别。设计神经网络分类器,实测数据验证了基于响度的目标特征提取方法是有效的,并分析了响度特征和能量特征的区别,说明了三类目标噪声响度特征较能量特征分布的集中度好,有利于提高分类识别的正确概率。
英文摘要:
      The loudness of underwater targets' noise is an important parameter for a sonar operator to classify targets.In the paper,a simple algorithm of specific loudness is proposed.A set of loudness features is extracted,and the classification experiment for three different kinds of targets performed.The results show that the feature extraction method based on the specific loudness of noise signal is useful for underwater target recognition.The difference between loud-ness features and energy features is also analyzed,and it is shown that the convergence of loudness features is better than the latter.
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