Reverberation is the main background interference in underwater active sonar target detection that seriously interferes with the extraction of the target highlight echo. In consideration of the difference in the time-frequency distributions of the target highlight echo and reverberation, an underwater reverberation suppression method based on non-negative matrix factorisation is proposed in this study. The Wigner-Ville time-frequency matrix of the underwater target echo is used as the input, and non-negative matrix factorisation is applied to express the time-frequency matrix as a low-rank matrix. The influences of rank selection on the reverberation suppression effect and signal expression of the target highlight echo are analysed. Given that the time-frequency matrix of the target highlight echo cannot be expressed in the low-rank form when transmitting linear frequency modulation signal, this matrix is processed with low-rank preprocessing through matrix rotation. The components of the target highlight echo, which can be expressed in the form of a low-rank matrix, are preserved. By contrast, the components of the reverberation interference, which cannot be represented in such a form, are removed in the underwater target echoes. The simulation and experimental results show that the algorithm can effectively improve the signal-to-reverberation ratio of underwater target echoes.

混响是水下主动声纳目标检测中的主要背景干扰，严重干扰了目标高亮回声的提取。针对目标高亮回波和混响时频分布的差异，提出了一种基于非负矩阵分解的水下混响抑制方法。水下目标回波的Wigner-Ville时频矩阵用作输入，并应用非负矩阵分解将时频矩阵表示为低秩矩阵。分析了等级选择对目标高亮回声的混响抑制效果和信号表达的影响。假设在传输线性调频信号时目标高光回波的时频矩阵不能以低秩形式表示，则通过矩阵旋转对矩阵进行低秩预处理。保留目标高光回波的成分，该成分可以以低秩矩阵的形式表示。相反，不能以这种形式表示的混响干扰的分量在水下目标回波中被去除。仿真和实验结果表明，该算法可以有效提高水下目标回波的信噪比。可以以低秩矩阵的形式表示。相反，不能以这种形式表示的混响干扰的分量在水下目标回波中被去除。仿真和实验结果表明，该算法可以有效提高水下目标回波的信噪比。可以以低秩矩阵的形式表示。相反，不能以这种形式表示的混响干扰的分量在水下目标回波中被去除。仿真和实验结果表明，该算法可以有效提高水下目标回波的信噪比。