末射合成孔径声纳泥沙表征试验研究

IF 1.4 4区 管理学 Q3 ENGINEERING, ELECTRICAL & ELECTRONIC Iet Radar Sonar and Navigation Pub Date : 2024-07-29 DOI:10.1049/rsn2.12615
Shannon-Morgan Steele, Anthony P. Lyons
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引用次数: 0

摘要

为了验证用于海底表征的海底散射模型,需要量化沉积物界面和体积对总声回波的贡献。在低频时,由于低频声纳的大波束宽度导致界面粗糙度散射存在偏差,因此很少对沉积物体积散射进行直接测量。Endfire合成孔径声呐(EF-SAS)可以形成一个垂直定向的合成阵列作为发射器和/或接收器,并通过水柱移动,从而实现更窄的波束宽度。EF-SAS实现的更窄的波束宽度允许通过减少声回波中的界面散射偏差来更准确地测量体积散射。本文首次探讨了efs - sas在沉积物表征中的应用。结果表明,EF-SAS可用于构造界面散射和体积散射的角响应曲线,并可用于估计衰减系数和反射系数,且衰减系数和反射系数可根据晶粒尺寸进行反演。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

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An experimental test of endfire synthetic aperture sonar for sediment characterisation

The validation of seafloor scattering models used for seabed characterisation requires quantifying the contributions from the sediment interface and volume to the total acoustic returns. At low-frequencies, direct measurements of sediment volume scattering have rarely been made, due to the bias in interface roughness scattering caused by large beamwidths of low-frequency sonars. Endfire Synthetic Aperture Sonar (EF-SAS) can achieve narrower beamwidths by forming a vertically oriented synthetic array as a transmitter and/or receiver and moving it through the water column. The narrower beamwidths achieved by EF-SAS allow for more accurate measurements of volume scattering by reducing interface scattering bias in acoustic returns. The application of EF-SAS for sediment characterisation is explored for the first time. The authors demonstrate that EF-SAS can be used to construct the angular response curve for both interface and volume scattering as well as to estimate the attenuation and reflection coefficients, which can be inverted for grain size.

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来源期刊
Iet Radar Sonar and Navigation
Iet Radar Sonar and Navigation 工程技术-电信学
CiteScore
4.10
自引率
11.80%
发文量
137
审稿时长
3.4 months
期刊介绍: IET Radar, Sonar & Navigation covers the theory and practice of systems and signals for radar, sonar, radiolocation, navigation, and surveillance purposes, in aerospace and terrestrial applications. Examples include advances in waveform design, clutter and detection, electronic warfare, adaptive array and superresolution methods, tracking algorithms, synthetic aperture, and target recognition techniques.
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