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• 电子科学 • 上一篇    下一篇

结合数字滤波技术的随机共振弱信号检测

辛春雨1, 刘凤侠2, 张 宇3   

  1. 1. 白城师范学院 物理系, 吉林 白城 137000; 2. 白城师范学院 大学外语教研部, 吉林 白城 137000; 3. 哈尔滨工业大学 物理系, 哈尔滨 150001
  • 收稿日期:2008-08-07 修回日期:1900-01-01 出版日期:2009-03-26 发布日期:2009-03-26
  • 通讯作者: 张 宇

Detection of Weak Signals Based on Stochastic Resonance and Digital Filter

XIN Chunyu1, LIU Fengxia2, ZHANG Yu3   

  1. 1. Department of Physics, Baicheng Normal College, Baicheng 137000, Jilin Province, China; 2. Department of University Foreign Language Research, Baicheng Normal College, Baicheng 137000, Jilin Province, China; 3. Department of Physics, Harbin Institute of Technology, Harbin 150001, China
  • Received:2008-08-07 Revised:1900-01-01 Online:2009-03-26 Published:2009-03-26
  • Contact: ZHANG Yu

摘要: 应用数值计算研究强噪声背景下弱信号的随机共振检测. 探讨了大频率条件下非线性双稳态系统随机共振的输出信号幅值、 信噪比与随机噪声的关系, 数值计算结果表明, 非线性双稳态系统对大频率噪声具有较大的压制特性, 通过随机共振系统可以检测强噪声背景下的大频率弱信号. 结合数字滤波技术提取了大频率弱信号, 并获得被检测大频率弱信号的特征频率谱线及时域图像. 

关键词: 随机共振, 大频率弱信号, 数字滤波

Abstract: Detection of weak signals in heavy noise background based on stochastic resonance was studied via numerical calculation. The relations of the amplitude and the signaltonoise ratio of the output signals of a nonlinear bistable stochastic resonance system to the noise intensity were researched under the high frequency condition. The results of numerical simulation show that the noise is restrained intensively by the nonlinear bistable system. High frequency weak signals in heavy noise background can be detected clearly based on stochastic resonance. The time domain and the characteristic spectrum of the frequency domain of output signals is obtained by extracting the high frequency weak signals with filtering wave technique. By means of the linear filter, the time domain of output signals can be obtained clearly.

Key words: stochastic resonance, high frequency weak signal, digital filter

中图分类号: 

  • TN911.23