微扰法声速剖面反演改进算法

发布时间：2018-01-01 16:03

本文关键词：微扰法声速剖面反演改进算法　出处：《哈尔滨工程大学学报》2017年03期 　论文类型：期刊论文

【摘要】：为了降低传播时间测量误差对微扰法声速剖面反演精度的影响,本文提出了一种基于微扰法的声速剖面反演改进算法。该算法通过调整平均声速剖面以增大声速扰动量,进而增大声速扰动所引起声线传播时间的扰动量,降低了测时误差对反演算法的影响,提高了反演算法对声速扰动的敏感性。数值算例表明,相同条件下传统微扰法反演的声速剖面的最大误差为1.478 m/s,而改进算法的最大误差降低至0.403 m/s,验证了改进算法可以有效降低传播时间测量误差对声速剖面反演结果的影响,比微扰法的反演精度更高。
[Abstract]:In order to reduce the effect of propagation time measurement error on the accuracy of acoustic velocity inversion by perturbation method. In this paper, an improved algorithm for the inversion of sound velocity profile based on perturbation method is proposed, which increases the disturbance of sound velocity by adjusting the average velocity profile, and then increases the disturbance of sound line propagation time caused by sound velocity disturbance. The influence of the time measurement error on the inversion algorithm is reduced, and the sensitivity of the inversion algorithm to the acoustic disturbance is improved. Under the same condition, the maximum error of acoustic velocity profile inversion by the traditional perturbation method is 1.478 m / s, while the maximum error of the improved algorithm is reduced to 0.403 m / s. It is verified that the improved algorithm can effectively reduce the influence of the measurement error of propagation time on the inversion results of the sound velocity profile, and the accuracy of the improved algorithm is higher than that of the perturbation method.
【作者单位】：哈尔滨工程大学水声技术重点实验室;哈尔滨工程大学水声工程学院;
【基金】：国家自然科学基金项目(11274078)
【分类号】：P733.2
【正文快照】： 网络出版地址:http://www.cnki.net/kcms/detail/23.1390.u.20170111.1509.036.html为了快速获取大面积海域的声速剖面信息,声学反演方法得到了国内外学者的广泛关注。其中匹配场反演[1]是反演浅海声速剖面的常用方法,然而匹配场技术对环境参数的失配敏感,使得一些学者致力于

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