一种适用于深海长基线定位的自适应分层声线跟踪法

A self-adapting division ray-tracing method in the long baseline acoustic positioning

在深海定位中,声线传播距离长,声速剖面层数多,采用分层等梯度怕线跟踪法运算量大,会明显降低定位的计算效率。针对这一问题,提出了一种自适应分层声线跟踪法,根据声速梯度的变化情况对声速剖面数据进行自适应分层,保留主要声速层以减少运行时间。实验表明,该方法在保证定位精度的前提下显著地提高了计算效率。

The constant gradient ray-tracing method used in the deep ocean will cost a lot of time because the sound travel length is long and the layer number of sound speed profile data is large. In order to solve this problem, a self-adapting division ray-tracing method is presented in this paper. This new method can divide the sound speed profile self-adaptively based on the changes of sound speed, and remain the main sound speed profile layers to reduce the running time. Experimental results show that this method can improve the computational efficiency greatly on the premise of ensuring accuracy.