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  • 标题:Normal Mode Based MUSIC Method for DOA Estimation in Shallow Water Using a Single Vector Sensor
  • 本地全文:下载
  • 作者:Yu Ao ; Ke Xu ; Jianwei Wan
  • 期刊名称:IOP Conference Series: Earth and Environmental Science
  • 印刷版ISSN:1755-1307
  • 电子版ISSN:1755-1315
  • 出版年度:2019
  • 卷号:242
  • 期号:2
  • 页码:1-7
  • DOI:10.1088/1755-1315/242/2/022010
  • 出版社:IOP Publishing
  • 摘要:Sound field in the shallow water can be modeled as a superposition of multiple normal modes. Traditional underwater DOA estimation methods assume the sound wavefront to be plane, which will lead to relatively large estimation errors. To solve this problem, a normal mode based MUSIC (NM-MUSIC) method using a single vector hydrophone is presented. The orthogonality between the steering vector and the noise subspace in classic MUSIC method is replaced by that between the steering matrix and the noise subspace. Elements of the steering matrix are functions of the azimuth angles and the modal wavenumbers, and the azimuth angles can be estimated through minimal optimization searching. Computer simulation results verify that the proposed algorithm outperforms the traditional MUSIC method from the perspective of both estimation bias and root mean square error.
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