中文摘要：

反潜战中,吊放声呐的工作深度对探测效果影响较大,研究如何根据不同声速剖面确定最佳工作深度使探测距离达到最远,可有效提高探测效率。先将声速剖面划分为典型的几类,然后设计了一种使计算机能够自动识别其类型的方法,再在此基础上利用Bellhop模型找出不同声速剖面下的最佳工作深度规律。仿真结果证明快速算法在一定条件下可替代逐深度计算声呐作用距离,再通过比较选出最佳工作深度的传统算法的。

英文摘要：

In anti-submarine warfare, the working depth of dipping-sonar greatly affects detection results. Research on the optimum working depths under different sound speed profiles for the longest distance detection is helpful to improve the detection efficient of dipping sonar. In this paper, the sound speed profiles are firstly classified into typical types, then a smart fast algorithm is designed to achieve auto-recognition by computer; and finally with the Bellhop model, the change regulation of the optimum working depth for different types of sound speed profiles is figured out. Simulation results show that in some conditions the fast algorithm could be a substitution of the traditional algorithm, with which the detection distance of every depth needs to be calculated and then by comparing each other to select an optimal working depth.