基于特征值多阈值修正的声矢量圆阵信源数检测

Source number detection based on multi-threshold eigenvalue correction using uniform circular acoustic vector sensor array

为了解决水下远程目标被动探测问题,提出了一种声矢量圆阵的信源数检测方法。该方法构造了声矢量圆阵声压与振速联合处理的协方差矩阵,并借鉴图像处理中双阈值检测概念,对协方差矩阵的特征值进行多阈值修正处理,利用信息论检测准则实现了声矢量圆阵的信源数检测。理论分析和仿真实验结果表明,本文算法可以有效地提高信息论检测准则的检测性能。水池试验结果也表明本文算法具有更好的噪声抑制能力以及更好的目标检测性能,进一步验证了算法的有效性。

To solve the passive detection problems of underwater remote targets,we propose a method for detecting source numbers with a uniform circular acoustic vector sensor array. First,we constructed a combined covariance matrix of the pressure and the acoustic particle velocity of the uniform circular acoustic vector sensor array. T h e n, based on the double-threshold detection concept,we adopted a multi-threshold image processing technology to cor-rect the eigenvalue of the covariance matrix. Ultimately,the source number can be estimated using the information criteria approach. Results from our theoretical analyses and computer simulations show that,the proposed method can effectively improve detection performance of the infrmation criteria. T he pool experimental results also demon-strate that it exhibits better detection performance and a stronger noise suppression ability than other methods, fur-ther verifying the effectiveness of our proposed method.