高等学校化学学报 ›› 2001, Vol. 22 ›› Issue (5): 762.

• 研究简报 • 上一篇    下一篇

自适应随机共振算法用于微弱信号检测

王利亚, 印春生, 蔡文生, 潘忠孝   

  1. 中国科技大学应用化学系, 合肥 230026
  • 收稿日期:2000-05-22 出版日期:2001-05-24 发布日期:2001-05-24
  • 通讯作者: 潘忠孝(1945年出生),男,研究员,博士生导师,主要从事化学计量学及计算机模拟研究.
  • 基金资助:

    国家自然科学基金(批准号:20075024)资助

Application of Adaptive Stochastic Resonance Algorithm in Weak Signal Detection

WANG Li-Ya, YIN Chun-Sheng, CAI Wen-Sheng, PAN Zhong-Xiao   

  1. Department of Applied Chemistry, University of Science and Technology of China, Hefei 230026, China
  • Received:2000-05-22 Online:2001-05-24 Published:2001-05-24

关键词: 随机共振, 微弱信号检测, 自适应算法, 喇曼光谱

Abstract: An adaptive algorithm for extracting weak signal based on the theory of stochastic resonance(SR) was proposed. It was implemented by investigating the self correlation of the outputs of the bistable system(with different μ). The results show that the self-correlation will reach maximum when a sudden change of output occurs, and hence prove that SRis sensitive sharply to the change of the parameters μ, and also provide one novel method to express the outputs which hasn't been solved till now. The adaptive algorithm was also applied to analyze the weak Laser-Raman spectrum of a CCl4 sample(liquid in capillary) which was measured with SPEX-1403 Laser-Raman spectrometer from250 cm-1 to 418 cm-1 on5 mW(output power of laser). The spectrum was analyzed with the adaptive algorithm by varying the data to (-413, 350) and declining μ from20 with step 001. The results obtained show that the adaptive algorithm was able to detect the weak signal automatically and correctly.

Key words: Stochastic resonance, Weak signal detection, Adaptive algorithm, Raman spectrum

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