基于最小方差的声线跟踪自适应分层算法

An adaptive stratification algorithm for acoustic ray tracking based on minimum variance

针对高精度水声定位系统中定位精度与计算量相互矛盾的问题,提出了基于最小方差的声线跟踪自适应分层算法。该算法根据声速在有限范围内规律变化的特点,对声速剖面全局搜索,通过各段声速散点到其拟合直线的总方差表示拟切分段与原始声速剖面的差别,利用最大差别找出最佳切分点,保留原始声速剖面特征,实现对声速剖面的简化。实验结果表明,该算法在保证定位精度的同时能够提高计算效率,具有良好的工程应用价值。

Aiming at the problem of the mutual contradiction between positioning accuracy and calculation amount in the high-precision underwater acoustic positioning system, an adaptive stratification algorithm based on minimum variance for acoustic ray tracking is proposed in this paper. According to the characteristics of regular variation of sound velocity in a limited range and by the global search of the sound velocity profile, the total variance from the dispersed sound velocity points of each segment to the fitted line is used to represent the difference between the segment to be segmented and the original sound velocity profile. The best segmentation point is found by the maximum difference, and the characteristics of the original sound velocity profile are retained to realize the simplification of the sound velocity profile. The experimental results show that the proposed method can increase the computational efficiency while ensuring the positioning accuracy, and has good engineering application value.