文章摘要
多项式拟合的自适应声线跟踪算法
Adaptive sound ray tracking algorithm based on polynomial fitting
投稿时间:2024-11-27  修订日期:2024-12-16
中文摘要:
      针对多波束测深中高精度声线跟踪算法运算量大的问题,本文提出一种多项式拟合的自适应声线跟踪算法。首先根据声速剖面和给定的误差阈值自适应划分角度区间,针对每个区间计算声线的水平位移和传播时间关于入射角的多项式拟合系数,构建系数表格和时间表格;然后对待求声线进行分段计算,得到声线的水平位移和终点水深。仿真结果表明,提出的算法将计算精度提升至毫米级的同时,计算效率相对于模板插值算法、DP算法和ADMV算法分别提升了29%、91%和91%。采用5700m水深的测线数据检验该算法在多波束测深归位计算中的性能,结果表明,该算法在实现高精度声线跟踪的同时有效降低了运算量,具备良好的工程应用价值。
英文摘要:
      To solve the problem of high precision sound ray tracking in multibeam bathymetry, an adaptive sound ray tracking algorithm based on polynomial fitting is proposed. Firstly, according to the sound velocity profile and the given error threshold, the angle intervals are adaptively divided, and the polynomial fitting coefficients of the horizontal displacement and propagation time of the sound ray on the incident angle are calculated for each interval to construct the coefficient table and time table. Then, the horizontal displacement of the sound ray and the water depth of the end point are obtained by segmentation calculation of the sound ray. The simulation results show that the proposed algorithm improves the calculation accuracy to the millimeter level, and the computational efficiency is improved by 29%, 91% and 91% compared with the template interpolation algorithm, the Douglas Peucker (DP) algorithm, and the Adaptive Division Based on Minimum Variance (ADMV) algorithm, respectively. The survey line data of the 5700m water depth is used to verify the performance of the algorithm in the position calculation of multibeam bathymetry. The results show that the proposed algorithm can effectively reduce the amount of computation while achieving high-precision sound ray tracking, which has good engineering application prospect.
DOI:
中文关键词: 声线跟踪  多项式拟合  查表法  多波束测深
英文关键词: Sound ray tracking  Polynomial fitting  Table lookup method  Multibeam bathymetry
基金项目:国家重点基础研究发展计划(973计划)
作者单位邮编
樊曌 中国科学院声学研究所 100190
刘晓东* 中国科学院声学研究所 100190
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