水声定位系统中迭代适应点分层的声线修正算法

Iterative adaptive points layering algorithm for sound ray correction in an underwater acoustic localization system

水声定位系统中,声线弯曲是造成定位误差大的主要原因,本文针对该问题提出了一种迭代适应点分层(IAPL)的声线修正算法,将声速剖面筛选分层修正声线。首先搭建水声定位模型,通过拟合目标海域的监测数据,得到声速高次函数;其次探究声线弯曲时目标位置与掠射角的关联性,由此构造出声线插值函数并求解路径参数;最后提出划分原则,精简声速剖面分层。仿真结果表明,所提算法定位误差较低,分层精简率均维持在48.04%的水平,使计算量平均下降可达50.27%,能够最大程度保留声速剖面的原始特征,减少分层数量,提高计算效率。

In this paper,an iterative adaptive points layering(IAPL)algorithm is proposed to target the sound ray bending in an underwater acoustic localization system.This algorithm is used to correct the sound ray by selecting and layering the sound speed profile.First,an underwater acoustic localization model is built,and the high-order function of sound speed is obtained by fitting the monitoring data of the target sea area.Second,the relationship between the target location and grazing angle during the sound ray bending is studied,the interpolation function of the sound ray is constructed,and the path parameters are derived.Finally,the principle of layering is proposed to simplify the layers of the sound speed profile.The simulation results show that the proposed algorithm has a low localization error,the layering reduction rate is maintained at 48.04%,and the computational load can be reduced to 50.27%on average.The proposed algorithm can reduce the number of layers of the sound profile,retain its original characteristics to the maximum extent,and improve computational efficiency.