基于舰船辐射噪声的水平阵阵形估计技术
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- 英文论文题名：Horizontal array shape estimation using ship noise
- 论文作者：吴艳群 ; 程壮 ; 刘媛昕 ; 吴国溧 ; 胡正良
- 英文论文作者：WU Yan-qun ; CHENG Zhuang ; LIU Yuan-xin ; WU Guo-li ; HU Zheng-liang ; Academy of Ocean Science and Engineering ; National University of Defense Technology ; Academy of Computation ; National University of Defense Technology
- 年：2016
- 作者机构：国防科学技术大学海洋科学与工程研究院;国防科学技术大学计算机学院;
- 论文关键词：阵形估计 ; 海洋环境噪声 ; 互相关
- 英文论文关键词：array shape estimation ; ocean ambient noise ; cross-correlation
- 会议召开时间：2016-10-28
- 会议录名称：2016年全国声学学术会议论文集
- 语种：中文
- 分类号：U666.7
- 学会代码：OGSM
- 会议名称：2016年全国声学学术会议
- 会议地点：中国湖北武汉
- 主办单位：中国声学学会
- 学会名称：中国声学学会
- 页数：3
- 文件大小：455k
- 原文格式：D
- 会议级别：全国
摘要
在目标定向和定位中,通常假设阵形已知。由于水平阵列在布放和使用过程中存在很多不可控和不确定因素,其实际阵形会与预设阵形不一致,从而导致目标测向和定位性能大大恶化。目前,基于水声的阵形校正技术大多采用主动声信号,这使得成本高、试验方案复杂。为此,本文利用水平阵列接收到的航船辐射噪声来估计水听器位置与参考传感器之间的互相关到达结构,并与模拟的水听器位置与参考传感器之间的互相关到达结构进行匹配,从而实现了水平阵列的阵形估计。为验证算法的有效性,对SWell EX-96海试中经过倾斜海底传播到达阵列的舰船辐射噪声信号进行了分析与处理,获得了水声信道的相关多途到达结构。结合舰船的GPS数据,采用射线模型Bellhop模拟了水听器与参考水听器不同水平距离时的相关多途结构。最后通过与观测数据的多途相关峰进行匹配得到水平阵列各个传感器相对于参考传感器的估计距离,从而获得水平阵列的阵形估计。海试结果表明:该方法计算效率高,且估计结果与其他方法得到的阵形估计结果(W.S.Hodgkiss,P.Gerstoft,and J.J.Murray.Array Shape Estimation from Sources of Opportunity.Oceans 2003.Proceedings,vol 1.,582-585.)基本一致。此方法无需主动发射声信号,环境友好,且成本低、易实现,具有很强的实用性和应用价值。
The array shape is often a prerequisite for the target DOA estimation and localization algorithms. Due to the uncontrolled and uncertain factors during the ocean bottom array deployment, the array shape will be different from the expected array shape. Most of the array shape estimation techniques demand one or more known active sources, which are costly and complex in the sea trials. The paper introduces an array shape estimation method by matching multipath cross-correlation peak and using the radiated ship noise. To validate the algorithm, the data in SWell EX-96 was analyzed. During this experiment, the ship noise propagated in a range dependent bottom and the multipath cross correlation pattern was simulated by the ray model Bellhop. The results show that the proposed method obtained the close results with that by the matched field inversion method(W.S. Hodgkiss, P. Gerstoft, and J. J. Murray. Array Shape Estimation from Sources of Opportunity. Oceans 2003. Proceedings, vol 1., 582-585). This method is environmental friendly, low cost and easy to implement in the sea trials, and thus practical and actual value.
The array shape is often a prerequisite for the target DOA estimation and localization algorithms. Due to the uncontrolled and uncertain factors during the ocean bottom array deployment, the array shape will be different from the expected array shape. Most of the array shape estimation techniques demand one or more known active sources, which are costly and complex in the sea trials. The paper introduces an array shape estimation method by matching multipath cross-correlation peak and using the radiated ship noise. To validate the algorithm, the data in SWell EX-96 was analyzed. During this experiment, the ship noise propagated in a range dependent bottom and the multipath cross correlation pattern was simulated by the ray model Bellhop. The results show that the proposed method obtained the close results with that by the matched field inversion method(W.S. Hodgkiss, P. Gerstoft, and J. J. Murray. Array Shape Estimation from Sources of Opportunity. Oceans 2003. Proceedings, vol 1., 582-585). This method is environmental friendly, low cost and easy to implement in the sea trials, and thus practical and actual value.
引文
[1]W.S.Hodgkiss,P.Gerstoft,and J.J.Murray.Array shape estimation from sources of opportunity[C].Oceans 2003,Proceedings,vol 1.,582-585.
[2]Michael G.Morley,Stan E.Dosso,and N.Ross Chapman.Array element localization using ship noise[J].J.Acoust.Soc.Am.,125(3),1403-1409,2009.
[3]Karim G.Sabra,Philippe Roux,Aaron M.Thode,Gerald L.D’Spain,W.S.Hodgkiss,and W.A.Kuperman.Using ocean ambient noise for array self-localization and self-synchronization[J].IEEE Journal of Oceanic Engineering,30(2),338-347,2005.
[4]Yanqun Wu,Ana Bela Santos,Paulo Felisberto,and Sergio.M.esus.Close range ship noise cross correlations with a vector sensor in view of geoacoustic inversion.In 2016 IEEE/OES COA,Harbin,2016.
[5]孙超.浅海水声匹配场试验及数据分析[C].全国声学会议.SUN Chao.Matched Field Processing in Shallow Water:Experiments and Data Analysis[C].Acta Acustica,1994,19(2):93-100.
[6]Porter M B.The Kraken normal mode program,user’s manual.SACLANT Undersea Research Centre,La Spezia,Italy,1991.
[2]Michael G.Morley,Stan E.Dosso,and N.Ross Chapman.Array element localization using ship noise[J].J.Acoust.Soc.Am.,125(3),1403-1409,2009.
[3]Karim G.Sabra,Philippe Roux,Aaron M.Thode,Gerald L.D’Spain,W.S.Hodgkiss,and W.A.Kuperman.Using ocean ambient noise for array self-localization and self-synchronization[J].IEEE Journal of Oceanic Engineering,30(2),338-347,2005.
[4]Yanqun Wu,Ana Bela Santos,Paulo Felisberto,and Sergio.M.esus.Close range ship noise cross correlations with a vector sensor in view of geoacoustic inversion.In 2016 IEEE/OES COA,Harbin,2016.
[5]孙超.浅海水声匹配场试验及数据分析[C].全国声学会议.SUN Chao.Matched Field Processing in Shallow Water:Experiments and Data Analysis[C].Acta Acustica,1994,19(2):93-100.
[6]Porter M B.The Kraken normal mode program,user’s manual.SACLANT Undersea Research Centre,La Spezia,Italy,1991.