文章摘要
梁玉权,周士弘,宫在晓.浅海低频长线阵声源方位估计*[J].,2021,40(6):821-827
浅海低频长线阵声源方位估计*
Low-frequency source azimuth estimation with a long line array in shallow water
投稿时间:2021-01-08  修订日期:2021-11-03
中文摘要:
      浅海大孔径水平阵信号估计近端射的低频声源方位时, 常规波束形成会产生明显的波束偏移和分裂现象, 从而造成单声源方位估计偏差。针对这一问题, 提出一种基于块稀疏压缩感知的声源方位估计方法。根据简正模理论, 将水平阵接收声场表示为方位角空间的块稀疏信号模型, 并通过块正交匹配追踪算法进行方位估计。仿真和2011年北黄海实验数据结果表明所提块正交匹配追踪方法可实现浅海波导环境下低频近端射的单个声源方位的准确估计。
英文摘要:
      When estimating azimuth of a low-frequency and near-end-fire source with a long horizontal line array (HLA) data by conventional beamforming (CBF), “shift and split” phenomenon occurs, which gives rise to the bias of the estimated azimuth. To solve this issue, a source azimuth estimation method based on block sparse compressive sensing is proposed. Sound field of a HLA is expressed as block sparse signal model according to normal mode theory, and block orthogonal matching pursuit (BOMP) algorithm is used for source azimuth recovery. Simulation and experiment data at the North Yellow Sea in 2011 show that the azimuth of a single, low-frequency and near-end-fire source in shallow water is estimated correctly by the proposed BOMP method.
DOI:10.11684/j.issn.1000-310X.2021.06.003
中文关键词: 浅海  水平阵  块稀疏  压缩感知  方位估计
英文关键词: shallow water  horizontal line array  block sparse  compressive sensing  azimuth estimation
基金项目:中国科学院重点资助项目,国家自然科学基金项目(面上项目,重点项目,重大项目)
作者单位E-mail
梁玉权* 中国科学院声学研究所 liangyuquan@mail.ioa.ac.cn 
周士弘 中国科学院声学研究所 shih_zhou@mail.ioa.ac.cn 
宫在晓 中国科学院声学研究所 gzx@mail.ioa.ac.cn 
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