一种基于模态分解的目标深度估计方法
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- 英文论文题名：A method of target depth estimation based on modal decomposition
- 论文作者：李鹏 ; 章新华 ; 付留芳 ; 曾祥旭
- 英文论文作者：LI Peng ; ZHANG Xin-hua ; FU Liu-fang ; ZENG Xiang-xu ; Department of underwater acoustic engineering ; Harbin Engineering university ; Department of military oceanography ; Dalian Navy Academy
- 年：2016
- 作者机构：哈尔滨工程大学水声工程学院;海军大连舰艇学院;
- 论文关键词：简正波 ; 模态分解 ; 曲线拟合 ; 深度估计
- 英文论文关键词：Normal mode wave ; Modal decomposition ; Curve fitting ; Depth estimation
- 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：TB56
- 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：4
- 文件大小：338k
- 原文格式：D
- 会议级别：全国
摘要
在被动声呐探测领域中,目标深度的判别一直都是研究的重点。本文提出了一种基于模态分解进行深度估计的方法,当接收信号可以实现在距离上均匀采样的情况下,基于kracken仿真得到拷贝向量,将拷贝向量与目标信号进行距离-波数域上的匹配相关处理来实现对目标的模态分解,根据模态在深度上的分布规律,用正弦函数对模态函数幅值进行拟合并得到正弦曲线的角频率,这一参数是由声源深度决定的,进而得到目标的估计深度,完成根据目标信号的模态分解实现对目标深度的估计。仿真结果表明:这一方法可以有效的对目标的深度进行估计,有一定的抗噪声能力。
In the field of passive sonar detection, identification of the target depth has been the focus of research. This paper proposes a method for depth estimation based on mode decomposition, when the received signal can be sampled uniformly on distance, copy vectors can be achieved based on the kracken simulation, the article matches the copy of vector and the target signal on the distance-wavenumber domain to acquire the target mode decomposition, according to the mode distribution on the depth, then fit the amplitude of mode function using the sine function to get the angular frequency of the sine curve, this parameter is determined by the depth of the sound source,then the article get the target depth estimated, finally completing the estimation of the target depth based on the modal decomposition of the target signal. Simulation results show that this method can effectively estimate the depth of the target, and has certain anti noise ability.
In the field of passive sonar detection, identification of the target depth has been the focus of research. This paper proposes a method for depth estimation based on mode decomposition, when the received signal can be sampled uniformly on distance, copy vectors can be achieved based on the kracken simulation, the article matches the copy of vector and the target signal on the distance-wavenumber domain to acquire the target mode decomposition, according to the mode distribution on the depth, then fit the amplitude of mode function using the sine function to get the angular frequency of the sine curve, this parameter is determined by the depth of the sound source,then the article get the target depth estimated, finally completing the estimation of the target depth based on the modal decomposition of the target signal. Simulation results show that this method can effectively estimate the depth of the target, and has certain anti noise ability.
引文
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[2]杨坤德,马远良.基于扇区特征向量约束的稳健自适应匹配场处理器_杨坤德[J].声学学报,2006,31(5):399-409.
[3]王宁,高大治,王好忠.频散、声场干涉结构、波导不变量与消频散变换[J].哈尔滨工程大学学报,2010,31(7):825-831.
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[5]王文博、黄勇、李淑秋.单水听器波导不变量被动测距_王文博[J].应用声学,2014,33(5):391-396.
[6]田玲爱、刘福臣、周士弘.利用Hough变换提取波导不变量[J].声学与电子工程,2009(4):22-24.
[7]李建,孙贵青,张春华,韩庆邦.声矢量传感器线阵波导不变量被动测距研究[J].应用声学,2012,31(4):249-255.
[8]Yue Wang-Fupo、Pan.Real time target localization using waveguide invariant in shallow water[J].IEEE,2011,1-4.
[9]Premus Vincent-E.,Ward James,Richmond Christ-D..Mode Filtering Approaches to Acoustic Source Depth Discrimination[C]//IEEE,2004:1415-1420.
[10]Premus Vincent-E.,Backman Daniel.A Matched Subspace Approach to Depth Discrimination in a Shallow Water Waveguide[C]//IEEE,2007:1272-1276.
[11]Kim Kyungseop,Seong Woojae,Lee Keunhwa.Adaptive Surface Interference Suppression for Matched-Mode Source Localization[J].IEEE JOURNAL OF OCEANIC ENGINEERING,2010,VOL.35(NO.1):120-130.
[12]Cargar Reid-Mc,Zurk Lisa-M..Depth-based signal separation with vertical linearrays in the deep ocean[J].J.Acoust.Soc.Am.,2013,133(4):320-325.
[13]何祚镛,赵玉芳.声学理论基础[M].北京:国防工业出版社,1981:113-122.
[14]许海波,曹力,吴大进.关于系统绝热近似_许海波[J].华中理工大学学报,1993,21:36-39.
[15]王宁,黄晓圣.简正波绝热近似判据[J].中国科学,2001,31(9):858-864.
[16]何永军.浅海距离有关波导耦合简正波数值建模[D].哈尔滨工程大学,2005.
[17]惠俊英,孙国仓,赵安邦.Pekeris波导中简正波声强流及其互谱信号处理[J].声学学报,2008,33(4):300-304.