计算机工程 ›› 2009, Vol. 35 ›› Issue (11): 213-215.doi: 10.3969/j.issn.1000-3428.2009.11.073

• 人工智能及识别技术 • 上一篇    下一篇

强混沌噪声下的正弦频率估计方法

孙晓东,石要武,康晓涛   

  1. (吉林大学通信工程学院,长春 130025)
  • 收稿日期:1900-01-01 修回日期:1900-01-01 出版日期:2009-06-05 发布日期:2009-06-05

Estimation Method for Sinusoidal Frequency in Strong Chaotic Noise

SUN Xiao-dong, SHI Yao-wu, KANG Xiao-tao   

  1. (College of Communication Engineering, Jilin University, Changchun 130025)
  • Received:1900-01-01 Revised:1900-01-01 Online:2009-06-05 Published:2009-06-05

摘要: 提出一种强混沌噪声下的正弦频率估计方法,使采样混合信号(混沌正弦信号)通过某一类型滤波器,利用滤波后的信号驱动一个新构建的同类响应混沌系统,若混沌同步发生,则说明在驱动响应信号的误差序列中含有大量正弦成分,且误差中正弦信噪比大大提高,从而可以较容易地估计正弦频率。仿真实验结果表明,该方法是有效可行的。

关键词: 混沌同步, 滤波, 正弦信号, 频率估计

Abstract: An estimation method for sinusoidal frequency in strong chaotic noise is presented, which makes mixed signals, containing chaotic signal and sinusoidal signal, into filter, and uses the filtered signal to drive a new response chaotic system same as the driving system. If chaotic synchronization occurs, the error data series between drive and response signal have the sinusoidal signal, and the SNR in error data series is much improved, so it is easy to estimate the harmonic parameter. Simulation experimental results show this method is effective and feasible.

Key words: chaotic synchronization, filtering, sinusoidal signal, frequency estimation

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