浅海声场干涉条纹滤波技术
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- 英文论文题名：Filtering technique of interference striations in shallow water
- 论文作者：宋雪晶 ; 赵安邦 ; 李茂震 ; 余赟
- 英文论文作者：SONG Xuejing ; ZHAO Anbang ; LI Maozhen ; YU Yun ; Acoustic Science and Technology Laboratory ; Harbin Engineering University ; College of Underwater Acoustic Engineering ; Harbin Engineering University ; Naval Academy of Armament
- 年：2016
- 作者机构：哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;海军装备研究院;
- 论文关键词：浅海波导 ; 干涉条纹 ; 波导不变量
- 英文论文关键词：shallow water ; interference striation ; waveguide invariant
- 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：P733.2
- 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：817k
- 原文格式：D
- 会议级别：全国
摘要
浅海波导中,宽带连续谱声源辐射信号声强图中呈现出稳定的干涉结构,其中包含了大量的目标信息和海洋环境信息。然而在噪声和线谱影响下,干涉条纹变得模糊难以分辨。本文以干涉结构的物理机理和图像处理手段为基础,通过低通滤波、中值滤波和对比度拉伸变换三种方法对干涉条纹进行滤波处理,改善条纹效果。仿真研究和海试数据处理结果表明,在低信噪比和线谱存在条件下,干涉条纹受到严重影响,利用本文研究的滤波方法能够有效地降低噪声影响,使干涉条纹清晰地呈现出来,能够改善以干涉结构为基础的相关应用的有效性和准确性。
In shallow water waveguide, there exists stable interference structure in the intensity plot of broadband continuous spectrum, containing a large number of target and environment information. However, under the influence of noise and line spectrum, the interference striations become blurred and indistinct. In this paper, on the basis of striations' physics mechanism and image process techniques, three methods including low-pass filtering, median filtering and contrast stretching transformation are used to filter the striations to improve the effect. Simulation research and sea trial results show that the striations could be seriously influenced by low signal-to-noise ratio and line spectrum. Using the filtering techniques studied in this paper, the noise influence can be decreased effectively to improve the striations. The effectiveness and accuracy of relevant application utilizing interference striations can be improved.
In shallow water waveguide, there exists stable interference structure in the intensity plot of broadband continuous spectrum, containing a large number of target and environment information. However, under the influence of noise and line spectrum, the interference striations become blurred and indistinct. In this paper, on the basis of striations' physics mechanism and image process techniques, three methods including low-pass filtering, median filtering and contrast stretching transformation are used to filter the striations to improve the effect. Simulation research and sea trial results show that the striations could be seriously influenced by low signal-to-noise ratio and line spectrum. Using the filtering techniques studied in this paper, the noise influence can be decreased effectively to improve the striations. The effectiveness and accuracy of relevant application utilizing interference striations can be improved.
引文
[1]Jensen F B,Kuperman W A,Porter M B,Schmidt H.Computational Ocean Acoustics,2nd ed.[M].New York:Springer-Verlag,2011.
[2]Brekhovskikh L M,Lysanov Y P.Fundamentals of Ocean Acoustics,3rd ed.[M].New York:Springer,2003.
[3]Rakotonarivo S T and Kuperman W A.Model-independent range localization of a moving source in shallow water[J].J.Acoust.Soc.Am.,2012,132(4):2218-2223.
[4]Cockrell K L and Schmidt H.Robust passive range estimation using the waveguide invariant[J].J.Acoust.Soc.Am.,2010,127(5):2780-2789.
[5]Yang T C.Beam intensity striations and applications[J].J.Acoust.Soc.Am.,2003,113(3):1342-1352.
[6]Turgut A,Orr M,Rouseff D.Broadband source localization using horizontal-beam acoustic intensity striations[J].J.Acoust.Soc.Am.,2010,127(1):73-83.
[7]He C S,Quijano J E,Zurk L M.Enhanced kalman filter algorithm using the invariance principle[J].IEEE Journal of Oceanic Engineering,2009,34(4):575-585.
[8]Quijano J E,Zurk L M,Rouseff D.Demonstration of the invariance principle for active sonar[J].J.Acoust.Soc.Am.,2008,123(3):1329-1337.
[9]Heaney K D.Rapid geoacoustic characterization:applied to range-dependent environments[J].IEEE Journal of Oceanic Engineering,2004,29(1):43-50.
[10]Ren Q Y,Hermand J P.Acoustic interferometry for geoacoustic characterization in a soft-layered sediment environment[J].J.Acoust.Soc.Am.,2013,133(1):82-93.
[11]Hodgkiss W S,Song H C,Kuperman W A,Akal T,Ferla C,Jackson D R.A long-range and variable focus phase-conjugation experiment in shallow water[J].J.Acoust.Soc.Am.,1999,105(3):1597-1604.
[12]Kim J S,Hodgkiss W S,Kuperman W A,Song H C.Null-broadening in a waveguide[J].J.Acoust.Soc.Am.,2002,112(1):189-197.
[13]Gonzalez R C,Woods R E,Eddins S L著,阮秋琦等译,数字图像处理(MATLAB版)[M].北京:电子工业出版社,2008.
[2]Brekhovskikh L M,Lysanov Y P.Fundamentals of Ocean Acoustics,3rd ed.[M].New York:Springer,2003.
[3]Rakotonarivo S T and Kuperman W A.Model-independent range localization of a moving source in shallow water[J].J.Acoust.Soc.Am.,2012,132(4):2218-2223.
[4]Cockrell K L and Schmidt H.Robust passive range estimation using the waveguide invariant[J].J.Acoust.Soc.Am.,2010,127(5):2780-2789.
[5]Yang T C.Beam intensity striations and applications[J].J.Acoust.Soc.Am.,2003,113(3):1342-1352.
[6]Turgut A,Orr M,Rouseff D.Broadband source localization using horizontal-beam acoustic intensity striations[J].J.Acoust.Soc.Am.,2010,127(1):73-83.
[7]He C S,Quijano J E,Zurk L M.Enhanced kalman filter algorithm using the invariance principle[J].IEEE Journal of Oceanic Engineering,2009,34(4):575-585.
[8]Quijano J E,Zurk L M,Rouseff D.Demonstration of the invariance principle for active sonar[J].J.Acoust.Soc.Am.,2008,123(3):1329-1337.
[9]Heaney K D.Rapid geoacoustic characterization:applied to range-dependent environments[J].IEEE Journal of Oceanic Engineering,2004,29(1):43-50.
[10]Ren Q Y,Hermand J P.Acoustic interferometry for geoacoustic characterization in a soft-layered sediment environment[J].J.Acoust.Soc.Am.,2013,133(1):82-93.
[11]Hodgkiss W S,Song H C,Kuperman W A,Akal T,Ferla C,Jackson D R.A long-range and variable focus phase-conjugation experiment in shallow water[J].J.Acoust.Soc.Am.,1999,105(3):1597-1604.
[12]Kim J S,Hodgkiss W S,Kuperman W A,Song H C.Null-broadening in a waveguide[J].J.Acoust.Soc.Am.,2002,112(1):189-197.
[13]Gonzalez R C,Woods R E,Eddins S L著,阮秋琦等译,数字图像处理(MATLAB版)[M].北京:电子工业出版社,2008.