磁尾流成像测定船舶航向

M. Fallah, M. Monemi
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引用次数: 1

摘要

文章历史:收到时间:2020年3月3日接受时间:6月29日。2021海水的小微波趋肤深度以及激光信号在水中的小穿透深度限制了SAR和激光雷达在海洋监测系统中的应用。另一方面,在海上航行的船只会在被称为尾流的海水中产生流体动力学异常。这些流体动力学扰动可以通过使用一些技术来检测,例如机载无线电成像和极低频(ELF)电磁信号处理。在实践中,导电海水异常在自然地球磁场中的运动会引发ELF磁尾流,该磁尾流可以通过精确的磁传感器进行测量,并通过信号处理方案进行检测。流体动力学尾流的物理特性以及与相应磁尾流相关的物理特性与船体形状、速度和航向等船舶参数直接相关。在这项工作中,我们首先推导和公式化了与上述流体动力学和磁尾流有关的数学表达式。利用推导的表达式,提出了一种新的检测方案,该方案通过从磁传感器阵列捕获的磁信号构建船舶磁尾流的二维图像,最后研究了磁尾流光谱图像与船舶航向之间的关系。我们将证明,我们提出的方案可以从构建的图像中高精度地检测远程船只的存在及其航向,此外,它没有现有的基于单传感器的航向检测方案的共同局限性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Determination of Vessel Heading using Magnetic Wake Imaging
Article History: Received: 03 Mar. 2020 Accepted: 29 June. 2021 The small microwave skin depth of sea water as well as the small penetration depth of laser signal in water impose limitations on the application of SAR and Lidar in sea surveillance systems. On the other hand, vessels travelling at sea bring about hydrodynamic anomalies in the sea water called as wake. These hydrodynamic disturbances can be detected by using some techniques such as airborne radio imaging and Extremely Low Frequency (ELF) electromagnetic signal processing. In practice, the motion of conductive sea water anomalies in the natural earth's magnetic field induces ELF magnetic wakes which can be measured via accurate magnetic sensors and detected through signal processing schemes. The physical properties of the hydrodynamic wake as well as those relating to the corresponding magnetic wake are directly related to the vessel parameters such as hull shape, speed and heading. In this work, we firstly derive and formulate the mathematical expressions relating to the aforementioned hydrodynamic and magnetic wakes. By employing derived expressions, a novel detection scheme is proposed based on constructing the 2-dimentional image of the vessel’s magnetic wake through the magnetic signals captured from an array of magnetic sensors, and finally, the relation between the spectral image of the magnetic wake and the vessel heading is studied. We will show that our proposed scheme can detect the existence of a remote vessel as well as its heading from the constructed image with high accuracy, and moreover, it does not have common limitations of existing single-sensor based heading detection schemes.
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