采用格拉斯曼流型的深海单帧基混响抑制方法

Reverberation suppression with the Grassmann manifold for a single ping scenario in deep sea

提出了一种混响抑制方法以抑制深海环境中的混响干扰。基于时空谱矩阵中信号(混响和目标)旁瓣的低秩性与主瓣的稀疏性差异,将混响抑制问题建模为矩阵的低秩、稀疏和扰动三项分解。采用格拉斯曼流型计算混响低秩空间,并对稀疏矩阵稀疏性进行约束,提出了一种混响快速抑制方法。基于随机正交模型与随机稀疏模型仿真分析了所提方法的有效性。结合南海实测深海混响数据和目标仿真信号对所提方法的有效性进行了实验验证。结果表明,与已有的序列随机投影子空间追踪与稀疏滤波(SRPSS)方法相比,所提方法的混响抑制性能相似,但耗时减少可达55%。

A method is proposed to suppress reverberation in the deep sea.Assuming the characteristics of low-rank for sidelobe and sparsity for mainlobe of signal in the tempo-spatial domain,the problem of reverberation suppression is formulated as a matrix decomposition of low-rank matrix,sparse matrix,and turbulence matrix.The low-rank matrix is achieved by using the algorithm of the Grassmann manifold,and the sparse matrix is obtained with the constraint of sparsity for the sparse matrix.The effectiveness of the proposed method is verified by a simulation with the random orthogonal model and the random sparsity model.Further,the performance of the proposed method is validated via data,which consists of deep-sea reverberation obtained from the experiment in the South China Sea and the simulated target echo.It is demonstrated that the time consumption of the proposed method is reduced by 55%compared to the method of SRPSS,for a similar detection performance.