Hu Gang, Wang Kejun, Liu Liangliang
College of Automation, Harbin Engineering University, Harbin 150001, China.
School of Mathematics and Information Sciences, Anshan Normal University, Anshan 114007, China.
Sensors (Basel). 2021 Feb 25;21(5):1610. doi: 10.3390/s21051610.
This paper proposes a new detection model of a weak signal based on a third-order chaotic system. Using a dynamic analysis tool, such as the Lyapunov exponent and the bifurcation diagram, variations of dynamic behavior can be observed, and the weak signal underwater can be picked up. In order to improve the observability of detection signals in the time domain and frequency domain, the spectral entropy complexity algorithm (SE) and complexity algorithms are used to analyze and extract the weak signal. The experimental results show that the spectrum extraction based on the complexity algorithm can accurately reflect the dynamic characteristics of the detected signal. It provides the theoretical direction and experimental data support for the application of the chaotic system in the field of acoustic detection.
本文提出了一种基于三阶混沌系统的微弱信号检测新模型。利用诸如李雅普诺夫指数和分岔图等动态分析工具，可以观察到动态行为的变化，并提取水下微弱信号。为了提高检测信号在时域和频域的可观测性，采用谱熵复杂度算法（SE）和复杂度算法对微弱信号进行分析和提取。实验结果表明，基于复杂度算法的频谱提取能够准确反映被检测信号的动态特性。它为混沌系统在声学检测领域的应用提供了理论指导和实验数据支持。
