A joint matching method for underwater target localization based on vertical interference structures at medium and very-low frequencies

IF 3.4 2区生物学 Q1 MARINE & FRESHWATER BIOLOGY

Frontiers in Marine Science Pub Date : 2026-10-19 DOI:10.3389/fmars.2026.1947106

Junwei Zeng, Yixin Yang, Huixin Shen, Mengling Yu, Shuhao Xu, Danqing Ma

{"title":"A joint matching method for underwater target localization based on vertical interference structures at medium and very-low frequencies","authors":"Junwei Zeng, Yixin Yang, Huixin Shen, Mengling Yu, Shuhao Xu, Danqing Ma","doi":"10.3389/fmars.2026.1947106","DOIUrl":null,"url":null,"abstract":"To address the challenging problem of range and depth estimation in the deep-ocean direct arrival zone (DAZ), especially in the far field, this paper proposes a joint matching method based on vertical interference structures at medium (1~10 kHz) and very-low (10~100 Hz) frequencies for underwater target range and depth estimation. To mitigate the significant estimation errors of multipath arrival parameters obtained by the image source method (ISM) under far-field condition, we first utilize an image-ray-family scanning technique to rapidly estimate the multipath arrival parameters, enabling efficient acquisition of multipath arrival times and arc lengths over the entire DAZ, and thus allowing rapid generation of replica vertical interference structures at medium and very-low frequencies. Subsequently, since the very-low-frequency interference structure is sensitive to range but insensitive to depth, we achieve robust range estimation by matching the measured interference structure with replica interference structures. Finally, based on the estimated range, the source depth is estimated by matching the medium-frequency interference structure, which is sensitive to depth. Numerical simulation results show that, in the far field of the DAZ, compared with the ISM-based matching method, the range and depth estimation accuracy of the proposed method are improved by approximately 85% and 96%, respectively. Moreover, the method is insensitive to depth-prior deviation and variations in geoacoustic parameters, showing good engineering application potential under weak observation conditions near the deep-ocean bottom.","PeriodicalId":12479,"journal":{"name":"Frontiers in Marine Science","volume":"7 1","pages":""},"PeriodicalIF":3.4000,"publicationDate":"2026-10-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Frontiers in Marine Science","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.3389/fmars.2026.1947106","RegionNum":2,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"MARINE & FRESHWATER BIOLOGY","Score":null,"Total":0}

引用次数: 0

Abstract

To address the challenging problem of range and depth estimation in the deep-ocean direct arrival zone (DAZ), especially in the far field, this paper proposes a joint matching method based on vertical interference structures at medium (1~10 kHz) and very-low (10~100 Hz) frequencies for underwater target range and depth estimation. To mitigate the significant estimation errors of multipath arrival parameters obtained by the image source method (ISM) under far-field condition, we first utilize an image-ray-family scanning technique to rapidly estimate the multipath arrival parameters, enabling efficient acquisition of multipath arrival times and arc lengths over the entire DAZ, and thus allowing rapid generation of replica vertical interference structures at medium and very-low frequencies. Subsequently, since the very-low-frequency interference structure is sensitive to range but insensitive to depth, we achieve robust range estimation by matching the measured interference structure with replica interference structures. Finally, based on the estimated range, the source depth is estimated by matching the medium-frequency interference structure, which is sensitive to depth. Numerical simulation results show that, in the far field of the DAZ, compared with the ISM-based matching method, the range and depth estimation accuracy of the proposed method are improved by approximately 85% and 96%, respectively. Moreover, the method is insensitive to depth-prior deviation and variations in geoacoustic parameters, showing good engineering application potential under weak observation conditions near the deep-ocean bottom.

查看原文本刊更多论文

基于垂直干涉结构的中低频水下目标定位联合匹配方法

针对深海直接到达区（DAZ）特别是远场距离深度估计的难题，提出了一种基于中（1~10 kHz）和极低（10~100 Hz）频率垂直干涉结构的水下目标距离深度估计联合匹配方法。为了减轻远场条件下图像源法（ISM）获得的多径到达参数的显著估计误差，我们首先利用图像射线族扫描技术快速估计多径到达参数，从而有效地获取整个DAZ的多径到达时间和弧长，从而允许在中低频和甚低频快速生成副本垂直干涉结构。随后，由于极低频干涉结构对距离敏感而对深度不敏感，我们通过将测量的干涉结构与复制的干涉结构匹配来实现鲁棒距离估计。最后，在估计范围的基础上，通过匹配对深度敏感的中频干扰结构来估计源深度。数值模拟结果表明，在DAZ远场，与基于ism的匹配方法相比，该方法的距离和深度估计精度分别提高了约85%和96%。此外，该方法对深度先验偏差和地声参数变化不敏感，在接近深海底部的弱观测条件下具有良好的工程应用潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

求助全文

约1分钟内获得全文求助全文

来源期刊

Frontiers in Marine Science Agricultural and Biological Sciences-Aquatic Science

CiteScore

5.10

自引率

16.20%

发文量

2443

审稿时长

14 weeks

期刊介绍： Frontiers in Marine Science publishes rigorously peer-reviewed research that advances our understanding of all aspects of the environment, biology, ecosystem functioning and human interactions with the oceans. Field Chief Editor Carlos M. Duarte at King Abdullah University of Science and Technology Thuwal is supported by an outstanding Editorial Board of international researchers. This multidisciplinary open-access journal is at the forefront of disseminating and communicating scientific knowledge and impactful discoveries to researchers, academics, policy makers and the public worldwide. With the human population predicted to reach 9 billion people by 2050, it is clear that traditional land resources will not suffice to meet the demand for food or energy, required to support high-quality livelihoods. As a result, the oceans are emerging as a source of untapped assets, with new innovative industries, such as aquaculture, marine biotechnology, marine energy and deep-sea mining growing rapidly under a new era characterized by rapid growth of a blue, ocean-based economy. The sustainability of the blue economy is closely dependent on our knowledge about how to mitigate the impacts of the multiple pressures on the ocean ecosystem associated with the increased scale and diversification of industry operations in the ocean and global human pressures on the environment. Therefore, Frontiers in Marine Science particularly welcomes the communication of research outcomes addressing ocean-based solutions for the emerging challenges, including improved forecasting and observational capacities, understanding biodiversity and ecosystem problems, locally and globally, effective management strategies to maintain ocean health, and an improved capacity to sustainably derive resources from the oceans.