Acoustic Signal Characteristics Analysis of Underwater Plasma Source Pulse Discharge based on Variational Mode Decomposition Algorithm

Zhenyang Chen, B. Yan, Xiaobing Zhang
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Abstract

In order to study the variational mode decomposition (VMD) algorithm for the analysis of acoustic signal characteristics of underwater plasma sound source pulse discharge, a simulation model of central control module is established by using VMD algorithm. The whole hardware circuit takes the FPGA (Field Programmable Gate Array) chip as the intelligent control center of the central control module, and combining with the minimum composed of basic power supply circuit, clock circuit, reset circuit and configuration circuit, the model is used to analyze the characteristics of acoustic signals. The results show that the uncertainties of these parameters also affect the performance of VMD. In VMD decomposition, the smaller the equilibrium constraint parameters are, the larger the bandwidth of each modal component is, the more likely the phenomenon of center frequency overlap and mode aliasing will occur. The larger the equilibrium constraint parameters are, the smaller the bandwidth of each component signal will be, and the phenomenon of center frequency overlap and mode aliasing will disappear. Through analysis, it is proposed that the general equilibrium constraint parameters can be taken as sampling frequency fs in practice. The acoustic signal of VMD applied to underwater plasma sound source pulse discharge is analyzed, and the results are as expected. It provides a theoretical basis and practical basis for its application in underwater plasma acoustic signal characteristics analysis. This is of great significance to the study of VMD as an underwater plasma source for the analysis of acoustic signal characteristics of pulse discharge.
基于变分模态分解算法的水下等离子体源脉冲放电声信号特性分析
为了研究水下等离子体声源脉冲放电声信号特性分析的变分模态分解(VMD)算法,利用变分模态分解算法建立了中央控制模块的仿真模型。整个硬件电路以FPGA (Field Programmable Gate Array,现场可编程门阵列)芯片作为中央控制模块的智能控制中心,结合基本电源电路、时钟电路、复位电路和组态电路的最小组成,利用该模型分析声信号的特性。结果表明,这些参数的不确定性也会影响VMD的性能。在VMD分解中,平衡约束参数越小,各模态分量的带宽越大,越容易出现中心频率重叠和模态混叠现象。平衡约束参数越大,各分量信号的带宽越小,中心频率重叠和模态混叠现象就会消失。通过分析,提出在实际应用中一般均衡约束参数可作为采样频率fs。对应用于水下等离子体声源脉冲放电的VMD声信号进行了分析,得到了预期的结果。为其在水下等离子体声信号特性分析中的应用提供了理论依据和实践依据。这对于研究VMD作为水下等离子体源对脉冲放电声信号特性的分析具有重要意义。
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