A vertical line array can be deployed in deep water below the critical depth, the depth where the sound speed equals the sound speed at the surface, to take advantage of the lower ambient noise level (compared with above the critical depth) for target detection. To differentiate a submerged source from a surface source, a Fourier transform based method [McCargar and Zurk, J. Acoust. Soc. Am. 133, EL320–325 (2013)] was proposed for a narrowband signal that exploits the depth-related harmonic (oscillation) feature of the beam power time series associated with the target arrival. In this paper, incoherent matched beam processing is used to estimate the target depth. Where the replica (calculated) beam intensity or amplitude time series best matches that of the data is used to estimate the source depth. This method is shown, based on simulated data, to provide a better depth resolution in general and better ability to estimate the depth of a very shallow source (say at 10 m) and can be used to complement the Fourier transform based method. It can be extended to process (random) broadband signals and to environments where the Lloyd's mirror theory is not valid.

中文翻译：

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匹配的光束强度处理，用于深垂直线阵列。

可以将垂直线阵列部署在临界深度以下的深水中，该深度为声速等于表面声速的深度，以利用较低的环境噪声水平（与临界深度以上的水平相比）来进行目标检测。为了将淹没源与地面源区分开，使用了基于傅立叶变换的方法[McCargar和Zurk，J。Acoust。Soc。上午。133，EL320–325（2013）]提出了一种窄带信号，该信号利用了与目标到达相关的波束功率时间序列的深度相关谐波（振荡）特征。在本文中，非相干匹配光束处理用于估计目标深度。复制品（计算出的）光束强度或幅度时间序列最匹配数据的位置用于估计源深度。示出了基于模拟数据的该方法总体上提供了更好的深度分辨率以及更好的估计非常浅的源的深度（例如在10 m处）的深度的能力，并且可以用于补充基于傅立叶变换的方法。它可以扩展到处理（随机）宽带信号以及劳埃德镜像理论无效的环境。