| 高江俊康,杨晋斌,池晴佳,刘宝,林永水,陈威.粒子群优化算法下的多声速剖面声线计算*[J].,2025,44(2):463-471 |
| 粒子群优化算法下的多声速剖面声线计算* |
| Particle Swarm Optimization Algorithm for acoustic ray calculation under multiple sound velocity profiles |
| 投稿时间：2023-11-08 修订日期：2025-03-01 |
| 中文摘要: |
| 在水下声线追踪研究中，声速剖面的变化会显著影响定位的精度。传统的声线追踪方法虽考虑了声速随深度的改变，但忽略了声速沿水平方向的变化。该文从单声速剖面下的声线追踪法出发，结合粒子群优化算法提出了一种定向搜索本征声线的改进算法，并对水平方向存在多个声速剖面情况下的声线及时延进行了计算研究。根据给定的初始入射角，通过打靶法搜寻出待求本征声线的一条同形声线，再以此为基础使用粒子群优化算法寻找本征声线。在单个声速剖面下，分别计算了正负梯度时的本征声线并和BELLHOP进行了对比验证，两种情况下该文程序与BELLHOP的误差分别为2.494%和0.924%。并且在考虑沿水平距离呈现单独一个、等间距4个及等间距8个不同声速剖面情况下研究了本征声线的时延及结构。在距离估计仿真中，恒等声速剖面、沿水平距离单独一个及等间距4个声速剖面情况下的估计结果分别为10030 m、10030 m和9980 m，与真实距离的误差分别为0.3%、0.3%和0.2%。结果表明声速剖面在水平距离上不同的分层结构会影响声线时延和结构的计算结果，进而影响定位的精度。 |
| 英文摘要: |
| In underwater acoustic ray tracing studies, variations in the sound velocity profile can significantly impact the accuracy of localization. Traditional ray tracing methods take into account changes in sound velocity with depth but overlook variations in sound velocity along the horizontal direction. In this paper, based on the acoustic ray tracing method under the single sound velocity profile, and combined with the particle swarm optimization algorithm, an improved algorithm for directionally searching of eigen-rays is proposed, and the acoustic rays and their time delays under of sound rays with multiple sound velocity profiles in the horizontal direction are calculated. According to the given initial incidence angle, an isomorphic acoustic ray of the eigen-rays to be sought is calculated by shooting method, and then on this basis, the particle swarm optimization is used to find the eigen-rays. Under a single sound velocity profile of positive or negative gradients the eigen-rays are calculated and compared with the calculation results of BELLHOP. The errors between the program used in this study and BELLHOP were found to be 2.494% and 0.924% for the positive and negative gradients, respectively. And the time delays and structures of the eigen-rays are studied when only a single, and 4 equal-spaced or 8 equal-spaced different sound velocity profiles are taken into account along the horizontal distance.In the distance estimation simulations, the estimated distances were found to be 10030 m, 10030 m, and 9980 m for the cases of a single, and 4 equal-spaced different sound velocity profiles, respectively. The errors with respect to the true distance were 0.3%, 0.3%, and 0.2%, respectively. These results indicate that the layered structure of sound velocity profiles along the horizontal distance can affect the calculated time delay and structure of eigen-rays, thereby influencing the accuracy of localization. |
| DOI：10.11684/j.issn.1000-310X.2025.02.021 |
| 中文关键词: 粒子群算法 声线追踪法 打靶法 多声速剖面 射线法 |
| 英文关键词: Particle Swarm Optimization sound ray tracing methods Shooting method multiple sound velocity profiles Ray method |
| 基金项目: |
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| 摘要点击次数: 19 |
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