基于深海大深度声场互相关的水面水下目标分类研究

随着我国海洋安全形势日趋严峻，深海目标远程探测成为当今水声界的研究热点。如何利用水声传播特性实现水面水下目标分类是其中亟需解决的关键科学问题。在深海大深度声传播信道条件下，声场互相关包含目标深度、速度等多维目标声场特征信息，深入开展基于声场互相关的水面水下目标分类研究，对深海声纳目标远程探测具有重要的科学意义和应用价值。. 本项目围绕深海大深度声场互相关干涉现象，综合运用数值仿真、理论推导和实验数据分析，首先研究声场互相关干涉条纹的形成机理和变化规律，并提取可用于表征声源深度的声场特征量；然后在缺乏目标距离先验信息条件下，研究基于目标运动补偿和声场干涉特性长时间相干累积的稳健声源深度分类方法；最后通过分析海上实验数据，完善声场互相关干涉现象的理论解释，并通过算法改进提高分类方法的稳健性。研究成果将丰富深海大深度声传播的基础研究，同时为水面水下目标分类提供一种新思路。

With the evolution of ocean security situation, long-range detection of underwater target in deep ocean has become a hot research area, and how to effectively distinguish the underwater target from the surface one by making full use of sound propagation characteristics is a key scientific problem that needs to be solved. The cross-correlated acoustic field at great depth of deep water consists of multi-dimensional acoustic characteristics information including target’s depth and velocity, further study on which is of great significance for improving the long-range detection capability of deep ocean sonar system.. Focusing on the interference phenomena of cross-correlated field, this research comprehensively uses numerical simulation, theoretical derivation, and experimental data analysis to ensure the accomplishment of the following points. First, this research will be devoted to the formation mechanism and variation law of interference fringes and the extracting of acoustic characteristics information that can be used for estimating source depth. Second, without a prior knowledge of target range, this research will focus on the source depth discrimination method of surface and underwater target based on the union of multi-dimensional acoustic characteristics information. Third, by analyzing the experimental data, the interference theory of cross-correlated acoustic field will be developed and the robustness of the source depth discrimination method by the optimization of algorithms will be improved. This research will promote the fundamental research of deep ocean sound propagation theory and provide a new idea for surface and underwater target classification.