Hybrid multistable coupled asymmetric stochastic resonance system and its application in ship radiated noise signal detection

IF 3.4 2区物理与天体物理 Q1 ACOUSTICS

Applied Acoustics Pub Date : 2025-09-07 DOI:10.1016/j.apacoust.2025.111026

Guohui Li, Qian Huang, Hong Yang

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引用次数: 0

Abstract

Under the background of complex marine environmental noise, processing of ship radiated noise signal (SRNS) is a hot topic in the current underwater research field, and it is also a major problem that plagues the underwater acoustics. In order to achieve effective detection of SRNS, a hybrid multistable coupled asymmetric stochastic resonance system is proposed and used to conduct research on SRNS detection. Firstly, aiming at the limitation of the classical tristable potential function, a multistable asymmetric stochastic resonance (MASR) system is constructed by introducing the multi-parameter adjustable coefficient term and Gaussian potential model, and its output characteristic are analyzed. On this basis, in order to further improve the system performance, the coupled mechanism is introduced into the MASR, and a hybrid multistable coupled asymmetric stochastic resonance (HMCASR) system is proposed. The signal-to-noise ratio gain and signal detection ability of the system are enhanced through synergistic effect, and the performance of the HMCASR system is analyzed theoretically by combining the stationary probability density and the signal-to-noise ratio gain. Secondly, based on the good global optimization ability of the greater cane rat algorithm (GCRA), an adaptive parameter determination mechanism of SVMD optimized by GCRA is constructed, and adaptive successive variational mode decomposition (ASVMD) is proposed, and the signal to be measured is decomposed by it. Then, in order to solve the problem of difficulty in detecting SNRS in complex marine environment, a SNRS detection method based on adaptive successive variational mode decomposition and hybrid multistable coupled asymmetric stochastic resonance is proposed, named the proposed detection method AH. The neural population dynamic optimization algorithm is used to optimize the HMCASR parameters, and the signal to be measured is adaptively decomposed through ASVMD to select the optimal IMF to input to HMCASR for detection. Finally, the feasibility and efficiency of AH are verified through simulation experiment and measured experiment. In the measured experiment, the output signal amplitude of AH can reach 10.3600 V, and the output signal-to-noise ratio gain can reach 18.6088 dB.

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混合多稳态耦合非对称随机共振系统及其在舰船辐射噪声信号检测中的应用

在海洋环境噪声复杂的背景下，船舶辐射噪声信号的处理是当前水下研究领域的热点问题，也是困扰水声学的一大难题。为了实现对SRNS的有效检测，提出了一种混合多稳态耦合非对称随机共振系统，并将其用于SRNS检测的研究。首先，针对经典三稳态势函数的局限性，引入多参数可调系数项和高斯势模型，构造了多稳态非对称随机共振（MASR）系统，并分析了其输出特性；在此基础上，为了进一步提高系统性能，在MASR中引入了耦合机制，提出了一种混合多稳态耦合非对称随机共振（HMCASR）系统。通过协同效应增强了系统的信噪比增益和信号检测能力，并结合平稳概率密度和信噪比增益对HMCASR系统的性能进行了理论分析。其次，基于大鼠算法（GCRA）良好的全局寻优能力，构建了基于GCRA优化的SVMD自适应参数确定机制，提出了自适应逐次变分模态分解（ASVMD），并对待测信号进行分解；然后，为了解决复杂海洋环境下信噪比难以检测的问题，提出了一种基于自适应逐次变分模态分解和混合多稳态耦合非对称随机共振的信噪比检测方法，命名为AH。采用神经种群动态优化算法对HMCASR参数进行优化，并通过ASVMD对待测信号进行自适应分解，选择最优IMF输入HMCASR进行检测。最后，通过仿真实验和实测实验验证了该方法的可行性和有效性。在实测实验中，AH的输出信号幅值可达10.3600 V，输出信噪比增益可达18.6088 dB。

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来源期刊

Applied Acoustics 物理-声学

CiteScore

7.40

自引率

11.80%

发文量

618

审稿时长

7.5 months

期刊介绍： Since its launch in 1968, Applied Acoustics has been publishing high quality research papers providing state-of-the-art coverage of research findings for engineers and scientists involved in applications of acoustics in the widest sense. Applied Acoustics looks not only at recent developments in the understanding of acoustics but also at ways of exploiting that understanding. The Journal aims to encourage the exchange of practical experience through publication and in so doing creates a fund of technological information that can be used for solving related problems. The presentation of information in graphical or tabular form is especially encouraged. If a report of a mathematical development is a necessary part of a paper it is important to ensure that it is there only as an integral part of a practical solution to a problem and is supported by data. Applied Acoustics encourages the exchange of practical experience in the following ways: • Complete Papers • Short Technical Notes • Review Articles; and thereby provides a wealth of technological information that can be used to solve related problems. Manuscripts that address all fields of applications of acoustics ranging from medicine and NDT to the environment and buildings are welcome.