应用消频散变换的浅海水声信号盲解卷
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- 英文论文题名：Blind deconvolution based on de-dispersive transform in shallow water
- 论文作者：张爽 ; 张寅权 ; 李国富 ; 崔华义
- 英文论文作者：ZHANG Shuang ; ZHANG Yin-quan ; LI Guo-fu ; CUI Hua-yi ; National Ocean Technology Center ; National Marine Date and Information Service
- 年：2016
- 作者机构：国家海洋技术中心;国家海洋信息中心;
- 论文关键词：消频散变换 ; 盲解卷 ; 模态分解
- 英文论文关键词：de-dispersivetransform ; blind deconvolution ; mode decomposition
- 会议召开时间：2016-08-21
- 会议录名称：2016’中国西部声学学术交流会论文集
- 语种：中文
- 分类号：TB56
- 学会代码：SXJS
- 会议名称：2016’中国西部声学学术交流会
- 会议地点：中国四川成都
- 主办单位：中国声学学会微声学分会、中国声学学会物理声学分会、陕西省声学学会、浙江省声学学会、山东省声学学会、上海市声学学会、黑龙江省声学学会、水声技术重点实验室、重庆市声学学会、西安市声学学会、四川省声学学会
- 学会名称：《声学技术》编辑部
- 页数：4
- 文件大小：1944k
- 原文格式：D
- 会议级别：全国
摘要
水声信号经过海洋波导传播后,接收信号会产生畸变。海洋环境和声源先验信息未知的情况下,由畸变的接收信号重构源信号的过程称为盲解卷,盲解卷的实质是抵消畸变。从声场简正波角度理解,接收信号的畸变由两部分构成:多模传播和单模频散。为抵消这两种畸变,本文提出一种盲解卷方法:首先利用数据驱动模态分解进行简正波过滤抵消多模的影响;然后利用消频散变换抵消单模频散。海上试验数据处理结果表明,相比以前单纯的简正波过滤盲解卷,本文方法重构出的源信号与真实源信号的相关系数能够提高15个百分点。
Sound signal always deforms after traveling through shallow water.Blind deconvolution requires to reconstruct the source waveform from the received signal without any knowledge of the environment and source. Essence of blind deconvolution is to counteract the deformation. From the aspect of normal mode theory,the deformation consists of multiple modes and dispersion of single mode. This paper proposed a method of blind deconvolution to counteract the two kind of deformation. Firstly, data-driven mode decomposition is used to get rid of multiple modes. Then, it takesadvantage of de-dispersive transform to counteract the dispersion of single mode. Experiment results show that the correlation coefficient of the reconstructed signal by the proposed method with the original signal is fifteen percent higher than former mode filter method.
Sound signal always deforms after traveling through shallow water.Blind deconvolution requires to reconstruct the source waveform from the received signal without any knowledge of the environment and source. Essence of blind deconvolution is to counteract the deformation. From the aspect of normal mode theory,the deformation consists of multiple modes and dispersion of single mode. This paper proposed a method of blind deconvolution to counteract the two kind of deformation. Firstly, data-driven mode decomposition is used to get rid of multiple modes. Then, it takesadvantage of de-dispersive transform to counteract the dispersion of single mode. Experiment results show that the correlation coefficient of the reconstructed signal by the proposed method with the original signal is fifteen percent higher than former mode filter method.
引文
[1]K.G.Sabra,H.C.Song,D.R.Dowling.Ray-basedblinddeconvolution in ocean sound channels.[J]J.Acoust.Soc.Am.2010,127:EL42-EL47
[2]郭国强,孙超,杨益新.基于垂直阵模态分解的低频水声信号盲解卷处理[J].声学学报.2011,36(1):8-19G.Q.Guo.C.Sun.Y.X.Yang.Blinddeconvolutionoflowfrequency acoustic signals based on modedecomposition using vertical linerarrayinshallowwater[J].ACTAACUSTICA.2011,36(1):8-19
[3]J.F.Smith,S.Finette.Simulated annealing as a method ofdeconvolutionforacoustictransientsmeasuredonaverticalarray.[J].J.Acoust.Soc.Am.1993,94:2315–2325
[4]T.B.Neilsen,E.K.Westwood.Mode function extraction from a VLA using singular value decomposition.[J].J.Acoust.Soc.Am.2002,111(2):748-756
[5]Gao D Z,Wang N,Wang H Z.A dedispersion transform for sound propagation in shallow water waveguide[J].J.Comput.Acoust.2010,18(3):245-257
[6]Grachev G A.Theory of acoustic field invariants in layered waveguides[J].Acoust.Phys.1993,39:33-35.
[7]杨士莪,惠俊英,水声传播原理[M].哈尔滨工程大学出版社,2007.
[8]Wang N.Dispersionless transform and potential applications in ocean acoustics[J].The 9th western pacific acoustics conference,2009.
[2]郭国强,孙超,杨益新.基于垂直阵模态分解的低频水声信号盲解卷处理[J].声学学报.2011,36(1):8-19G.Q.Guo.C.Sun.Y.X.Yang.Blinddeconvolutionoflowfrequency acoustic signals based on modedecomposition using vertical linerarrayinshallowwater[J].ACTAACUSTICA.2011,36(1):8-19
[3]J.F.Smith,S.Finette.Simulated annealing as a method ofdeconvolutionforacoustictransientsmeasuredonaverticalarray.[J].J.Acoust.Soc.Am.1993,94:2315–2325
[4]T.B.Neilsen,E.K.Westwood.Mode function extraction from a VLA using singular value decomposition.[J].J.Acoust.Soc.Am.2002,111(2):748-756
[5]Gao D Z,Wang N,Wang H Z.A dedispersion transform for sound propagation in shallow water waveguide[J].J.Comput.Acoust.2010,18(3):245-257
[6]Grachev G A.Theory of acoustic field invariants in layered waveguides[J].Acoust.Phys.1993,39:33-35.
[7]杨士莪,惠俊英,水声传播原理[M].哈尔滨工程大学出版社,2007.
[8]Wang N.Dispersionless transform and potential applications in ocean acoustics[J].The 9th western pacific acoustics conference,2009.