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基于哈密顿量的Duffing振子微弱信号检测 被引量:16

Weak Signal Detection by Duffing Oscillator Based on Hamiltonian
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摘要 针对目前基于Duffing振子微弱信号检测方法大多停留在对相图的定性分析上,提出了利用哈密顿量构造统计量的微弱信号检测的定量判别方法。哈密顿量能够实时地表征系统的动力学行为,有利于在短时间内进行判决。利用平均伪哈密顿量实时地刻画Duffing系统状态的变化情况,能够在低信噪比下实现微弱信号的快速检测。仿真实验验证了该方法的有效性。 This paper studies the weak signal detection by using Duffing oscillator.It is not only of the theoretical value but also of the engineering value to decide the existence of the weak signal in strong noise environment quickly and exactly.Considering that most of the existing weak signal detection methods based on Duffing oscillator are qualitative analysis,this paper uses Hamiltonian to construct statistic for quantitative decision.Hamiltonian can depict the dynamics in real time,and it can be used to do decision in short time situation.This paper utilizes mean pseudo Hamiltonian to depict the changing of the states of Duffing systems in real time.Our scheme can detect weak signal in lower signal-noise-ratio quickly.Simulation verifies the effectiveness of the proposed scheme.
出处 《电子科技大学学报》 EI CAS CSCD 北大核心 2012年第2期203-207,共5页 Journal of University of Electronic Science and Technology of China
关键词 DUFFING振子 哈密顿量 信号检测 弱信号 Duffing oscillator Hamiltonian signal detection weak signal
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  • 1李健,何坤,乔强,周激流.应用混沌系统实现弱信号的检测[J].四川大学学报(自然科学版),2004,41(6):1180-1183. 被引量:10
  • 2石要武,戴逸松,丁宏.有色噪声背景下正弦信号频率估计的互谱Pisarenko和MUSIC方法[J].电子学报,1996,24(10):46-50. 被引量:42
  • 3王树和.微分方程模型与混沌[M].合肥:中国科学技术大学出版社,1999.489-450.
  • 4Adeli H, Ghosh-Dastidar S and Dadmehr N 2007 IEEE Trans. Biomed. Eng. 54 205
  • 5Izrailev F M, Timmermann B and Timmermann W 1988 Phys. Lett. A 126 405
  • 6Dettmer R 1993 IEE Rev. 39 199
  • 7Wolf A, Swift J, Swinney H and Vastano J 1985 Physica D 16 285
  • 8Jeong J, Kim M S and Kim S Y 1999 Phys. Rev. E 60 831
  • 9Yuan Y, Li Y and Mandic D P 2008 J. Physiol. Sci. 58 239
  • 10Srinivasan V, Eswaran C and Sriraam N 2007 IEEE Trans. Inf. Technol. Biomed. 11 288

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