Reduction in the dynamical complexity of the ocean ambient noise in the presence of target

Shashidhar Siddagangaiah, Ya'an Li
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Abstract

In this paper, we intend to quantify the dynamical complexity ofunderwater acoustical signals (UAS) based on multiscale sample entropy (MSE). MSE is calculated for three types of UAS which were measured in the South China Sea: ambient noise, and near and distant experimental vessels moving at constant velocity. [The analysis of real UAS exhibit high entropy values were assigned for ambient noise and low values for target signals.][NOTE: it is not clear what this means] This result suggests that the ambient noise is dynamically more complex than the target signals within the ambient noise. [It is also shown that dynamical behavior of far target approaching ambient noise behavior due to the weak ship noise.][NOTE: it is not clear what this means] This affirms that ship noise is regular and, when present in ambient noise, can be detected by the change in their dynamical complexity.
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降低目标存在时海洋环境噪声的动态复杂性
本文基于多尺度样本熵(MSE)来量化水声信号的动态复杂度。本文计算了在南海实测的三种类型的UAS的MSE:环境噪声和等速运动的近、远实验船。[对真实无人机系统的分析表明,环境噪声的熵值较高,目标信号的熵值较低。][注:不清楚这意味着什么]这一结果表明,环境噪声在动态上比环境噪声中的目标信号更复杂。研究结果还表明,由于舰船噪声较弱,远目标的动力特性接近环境噪声。[注:不清楚这是什么意思]这证实了船舶噪声是规则的,当存在于环境噪声中时,可以通过其动态复杂性的变化来检测。
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