Robust Chinese Remainder Theorem–Based Synthetic Aperture Sonar Motion Estimation

IF 3.8 2区 工程技术 Q1 ENGINEERING, CIVIL IEEE Journal of Oceanic Engineering Pub Date : 2024-03-19 DOI:10.1109/JOE.2023.3328084
Cheng Chi;Shiping Chen;Rongxing Zhong;Pengfei Zhang;Peng Wang;Yu Li;Jiyuan Liu;Haining Huang
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Abstract

Motion estimation is required to obtain high imaging quality in synthetic aperture sonars (SASs). Displaced phase center antenna (DPCA) micronavigation is an important technique of motion estimation in SASs. A key step in DPCA micronavigation is accurately determining the time delay between echoes received by the approximate “phase center” array between adjacent pings. Unfortunately, the accuracy of the existing method for estimating this time delay is often deteriorated by the ambiguity of the time delay estimates in the presence of noise or interference. This article proposes an accurate method of estimating the time delay based on the Robust Chinese Remainder Theorem (RCRT). The experimental results show that the proposed method decreases the ambiguous rate of time delay estimates by one order of magnitude, compared to the conventional approach, which means the estimation accuracy is improved significantly. The SAS imaging results demonstrate that the RCRT-based motion estimation helps to obtain higher-quality images.
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基于中文余数定理的鲁棒合成孔径雷达运动估计
合成孔径声纳(SAS)要获得高成像质量,就必须进行运动估计。位移相位中心天线(DPCA)微导航是 SAS 运动估计的一项重要技术。DPCA 微导航的一个关键步骤是准确确定相邻 pings 之间近似 "相位中心 "阵列接收到的回波之间的时间延迟。遗憾的是,现有估算这一时延的方法的准确性往往因噪声或干扰时时延估算的模糊性而降低。本文提出了一种基于稳健中文余数定理(RCRT)的时间延迟精确估算方法。实验结果表明,与传统方法相比,所提出的方法将时延估计的模糊率降低了一个数量级,这意味着估计精度得到了显著提高。SAS 成像结果表明,基于 RCRT 的运动估计有助于获得更高质量的图像。
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来源期刊
IEEE Journal of Oceanic Engineering
IEEE Journal of Oceanic Engineering 工程技术-工程:大洋
CiteScore
9.60
自引率
12.20%
发文量
86
审稿时长
12 months
期刊介绍: The IEEE Journal of Oceanic Engineering (ISSN 0364-9059) is the online-only quarterly publication of the IEEE Oceanic Engineering Society (IEEE OES). The scope of the Journal is the field of interest of the IEEE OES, which encompasses all aspects of science, engineering, and technology that address research, development, and operations pertaining to all bodies of water. This includes the creation of new capabilities and technologies from concept design through prototypes, testing, and operational systems to sense, explore, understand, develop, use, and responsibly manage natural resources.
期刊最新文献
2024 Index IEEE Journal of Oceanic Engineering Vol. 49 Table of Contents Call for papers: Special Issue on the IEEE UT2025 Symposium Hierarchical Interactive Attention Res-UNet for Inland Water Monitoring With Satellite-Based SAR Imagery Testing High Directional Resolution Sea-Spectrum Estimation Methods in View of the Needs of a National Monitoring System
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