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类Liu系统在水声微弱信号检测中的应用研究
引用本文:刘剑鸣,杨霞,高跃龙,刘福才.类Liu系统在水声微弱信号检测中的应用研究[J].物理学报,2016,65(7):70501-070501.
作者姓名:刘剑鸣  杨霞  高跃龙  刘福才
作者单位:燕山大学工业计算机控制工程河北省重点实验室, 秦皇岛 066004
摘    要:利用三阶混沌系统构造了一种新的微弱信号检测系统——类Liu系统, 对类Liu 系统进行了深度的理论分析. 类Liu系统中, 当输入待测信号幅值大于某临界值时, 系统可达到平衡点S0, S0中系统变量x平衡于摄动力信号, 系统变量y, z收敛于零态, 且S0 对应的Lyapunov指数小于零. 通过Matlab仿真、Multisim电路仿真以及实际电路证明了类Liu系统的周期态收敛性及广域检测性, 解决了传统Duffing系统进行微弱信号检测时周期态不收敛、只能进行窄域检测等问题, 同时谱级信噪比范围仍可达-46.57 dB. 类Liu系统采用了全新的设计理念, 具有较高的实用价值, 对未来海洋物联网中的水声通信有一定参考价值.

关 键 词:类Liu  系统  Duffing  系统  混沌电路  微弱信号检测
收稿时间:2015-11-14

Application of similar Liu system in underwater weak signal detection
Liu Jian-Ming,Yang Xia,Gao Yue-Long,Liu Fu-Cai.Application of similar Liu system in underwater weak signal detection[J].Acta Physica Sinica,2016,65(7):70501-070501.
Authors:Liu Jian-Ming  Yang Xia  Gao Yue-Long  Liu Fu-Cai
Institution:Key Lab of Industrial Computer Control Engineering of Hebei Province, Yanshan University, Qinhuangdao 066004, China
Abstract:Weak signal detection is a vital technology in underwater acoustic communication with strong noise background. In this area, non-autonomous Duffing system is still widely used, and a lot of researches focus on enhancing the ability to detect weak signal and to find out the detection limitation of the Duffing system. Moreover, great achievements have already made. But problems still exist such as non-convergence of the periodic state of the Duffing system and its narrow detection domain. Unfortunately, researches on weak signal detection by using other systems are still rare. In order to solve the above problems, a new three-dimensional similar Liu chaotic system for weak signal detection is proposed. A thorough theoretical analysis for the similar Liu chaotic system is given, and its equilibrium point and the Lyapunov index are deduced and analyzed in detail. The major conclusion is that the variable x of the new system becomes a deformation signal when the input signal amplitude is greater than a certain critical value, the variables y and z converge to zero, and the Lyapunov exponents are less than zero at the same time. This means that no matter how strong the input signal is, the detection can be achieved by using a similar Liu chaotic system as long as its amplitude exceeds the threshold value. The periodic convergence and wide area detection of the similar Liu chaotic system are proved by the Matlab simulation, the Multisim circuit simulation, and the actual circuit test. This new system solves the two problems of the period convergence and narrow detection domain for the traditional Duffing system. The periodic state and chaotic state are easy to distinguish when detected. The periodic state can be maintained when the signal amplitude changes from short distance to long distance in a new system. The spectral signal-to-noise ratio range increases up to -46:57 dB in the similar Liu chaotic system. The characteristics of the new system are only effected by its structure and parameters. The system does not rely on the external factors, and it can be extended. By using some switching devices, the conversion between the chaotic state and periodic state can be realized in the practical engineering applications with a higher detection accuracy. The new design concept of the similar Liu chaotic system shows a very high practical value. It will lay a certain foundation for the underwater acoustic communication of the ocean internet of things in the future.
Keywords:similar Liu system  Duffing system  chaotic circuit  weak signal detection
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