张雪冬,牛海强,吴立新.斜坡海底波导中随机声源的信道盲解卷积[J].,2020,39(5):670-680 |
斜坡海底波导中随机声源的信道盲解卷积 |
Blind deconvolution of sources of opportunity in a slope waveguide |
投稿时间:2019-09-17 修订日期:2020-08-30 |
中文摘要: |
该文研究了在斜坡海底环境中,通过基于射线的盲解卷积(RBD)方法,利用随机声源发出的信号来估计信道响应(CIR)的有效性,并讨论了不同信噪比和海底坡度情况下,RBD估计到的CIR与CIR理论值的相关性,对2016年美国圣巴巴拉海峡实验进行了仿真验证。RBD方法通过宽带波束形成估计随机声源的相位,以得到声源和接收阵之间的CIR。仿真结果表明,斜坡海底情况下RBD方法仍能较为准确地估计信道的CIR,噪声和海底坡度的变化均会对RBD估计到的CIR的精确度产生一定的影响。在具有一定粗糙度的斜坡海底波导或存在海底山丘的波导中,RBD仍然可以对CIR进行有效估计。 |
英文摘要: |
To investigate the performance of ray-based blind deconvolution (RBD) of sources of opportunity in a slope waveguide, the correlation coefficients between RBD estimated channel impulse response (CIR) and the original CIR for different signal-to-noise ratios and slope angles is discussed using the numerical simulations of 2016 Santa Barbara Channel experiment. The RBD algorithm relies on estimating the unknown phase of the sources of opportunity through wideband beamforming along a well-resolved ray path to approximate the environment’s CIR between the source and vertical line array elements. The simulation results for RBD estimated CIR in a slope waveguide show good agreement with the original CIR, and the environment noise and the slope angle influence the RBD estimated CIR. The RBD also has a good performance in a rough bottom or a hill waveguide. |
DOI:10.11684/j.issn.1000-310X.2020.05.004 |
中文关键词: 盲解卷积,射线方法,斜坡海底 |
英文关键词: Blind deconvolution, Ray-based method, Slope waveguide |
基金项目:国家自然科学基金项目(面上项目,重点项目,重大项目)中国科学院青年创新促进会资助项目 中国科学院声学研究所率先计划项目资助 |
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