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利用水平阵模态域波束形成判别声源深度*
引用本文:郭良浩,刘志韬,闫超.利用水平阵模态域波束形成判别声源深度*[J].应用声学,2019,38(4):490-500.
作者姓名:郭良浩  刘志韬  闫超
作者单位:中国科学院声学研究所声场声信息国家重点实验室,中国科学院声学研究所声场声信息国家重点实验室,中国科学院声学研究所声场声信息国家重点实验室
基金项目:国家自然科学基金项目(61571436,11434012,11874061),中国科学院前沿科学重点研究项目(QYZDY-SSW-SLH005)资助
摘    要:针对近水面声源和水下声源的深度判别问题,根据近水面声源难以激发低阶模态的物理现象,研究利用声源波数谱结构和波数位置的不同来分辨近水面声源和水下声源。通过采用MVDR的谱估计方法进行模态域波束形成,补偿水平阵各阵元之间各号简正波的相位差,获得主瓣窄、旁瓣低的声源信号波数谱。波数谱的波数位置与频率呈近似线性关系,水中声速剖面、海底参数、海深都会影响波数谱的具体结构和位置。此外,声源信号的到达角估计误差同样也会影响波数谱主瓣的位置估计。数值仿真结果表明,在浅海负跃层声速剖面条件下,可利用水平阵模态域波束形成判别声源深度,区分近水面声源和水下声源。

关 键 词:浅海负跃层,模态域波束形成,波数谱,声源深度判别
收稿时间:2019/2/15 0:00:00
修稿时间:2019/7/1 0:00:00

Source depth discrimination based on beamforming in modal domain by a horizontal array
GUO Lianghao,LIU Zhitao and YAN Chao.Source depth discrimination based on beamforming in modal domain by a horizontal array[J].Applied Acoustics,2019,38(4):490-500.
Authors:GUO Lianghao  LIU Zhitao and YAN Chao
Institution:State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences,State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences,State Key Laboratory of Acoustics, Institute of Acoustics, Chinese Academy of Sciences
Abstract:In order to distinguish the depth of the near-surface sound source and the underwater sound source, according to the physical phenomenon that the near-surface sound source is difficult to excite low-order modes, the identification of the near-surface sound source and the underwater sound source is studied by using the difference of wavenumber spectrum structure and wavenumber position of sound sources. The spectrum estimation method of MVDR is used to beamforming in modal domain to compensate the phase difference of the modes between the elements of the horizontal array, and the wavenumber spectrum of the source signal with narrow main lobe and low side lobe is obtained. The position of wavenumber of wavenumber spectrum is approximately linear with frequency. Sound velocity profile, seabed parameters and sea depth will affect the specific structure and location of wavenumber spectrum. In addition, the DOA estimation error of the source signal also affects the position estimation of the main lobe of the wavenumber spectrum. The numerical simulation results show that in the case of negative thermocline of shallow water, the horizontal array modal domain beamforming can effectively distinguish the sound source depth, and distinguish the near-surface sound source from the underwater sound source.
Keywords:Negative thermocline in shallow water  Beamforming in modal domain  Wave number spectrum  Source depth discrimination
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