ABSTRACT

Sound Speed Profiles (SSPs) are critical environmental parameters for many ocean applications. A novel Ray-Gradient-Enhanced Surrogate Model (RGE-SM) method is proposed for SSP inversion by matching the predicted acoustic travel times with the measured acoustic travel times. The surrogate model is adopted as the framework to search for the global solution of SSP parameters. Instead of approximating the objective function, the proposed method constructs the surrogate of the objective function’s lower envelope by finding local minima based on the ray gradient of the objective function. The RGE-SM method is verified using SSP data in the South China Sea, and the results show that the RGE-SM method exhibits a smaller estimation error than the genetic algorithm with less than one-twentieth of the calculation time.

摘要

声速剖面 (SSP) 是许多海洋应用的关键环境参数。通过将预测的声波传播时间与测量的声波传播时间相匹配，提出了一种用于 SSP 反演的新型射线梯度增强代理模型 (RGE-SM) 方法。采用代理模型作为框架来寻找 SSP 参数的全局解。所提出的方法不是逼近目标函数，而是通过基于目标函数的射线梯度找到局部最小值来构造目标函数下包络的替代。利用南海SSP数据对RGE-SM方法进行了验证，结果表明RGE-SM方法的估计误差小于遗传算法的二十分之一计算时间。