A new detection method of weak signals in strong background-noise level

Yang Xianglong; Wang Leyu

Volume 24 Issue 6

Jun. 2002

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Article Navigation > Journal of Electronics & Information Technology > 2002 > 24(6): 811-815

Hu Zongxuan, Jiang Baochen. TOPOLOGICAL COMPUTATION OF INDEFINITE MATRIX[J]. Journal of Electronics & Information Technology, 1985, 7(3): 180-187.

Citation:

Yang Xianglong, Wang Leyu. A new detection method of weak signals in strong background-noise level[J]. Journal of Electronics & Information Technology, 2002, 24(6): 811-815.

Hu Zongxuan, Jiang Baochen. TOPOLOGICAL COMPUTATION OF INDEFINITE MATRIX[J]. Journal of Electronics & Information Technology, 1985, 7(3): 180-187.

Citation:

Yang Xianglong, Wang Leyu. A new detection method of weak signals in strong background-noise level[J]. Journal of Electronics & Information Technology, 2002, 24(6): 811-815.

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A new detection method of weak signals in strong background-noise level

Received Date: 2000-01-28
Rev Recd Date: 2001-09-17
Publish Date: 2002-06-19

Abstract

Abstract

In this paper, using the stochastic resonance technique, the detection method of weak signal is simulated, then the increasing of SNR and the detecting of weak signal are investigated. And the signal passing through the stochastic resonator is compared with the original signal. It indicates that the stochastic resonance is fully able to become a strong newtool in signal detection.

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References(1)

References

戴逸松,微弱信号检测方法及仪器,北京,国防工业出版社,1994,1-23[2]林理忠,宋敏,微弱信号检测学导论,北京,中国计量出版社,1996,1-204[3]R. Benzi, A. Sutera, A. Vulpiani, The mechanism of stochastic resonance, J. Phys. A, 1981, 14,L453-L457.[4]F. Moss, Stochastic resonance: a signal+ noise in a two state system, Proc. of the 45th Annual Symposium on Frequency control, Los Angeles, CA, USA, 1991, 649-658.[5]F. Chapeau-Blondeau, Input-output gains for signal noise in stochastic resonance. Phys. Lett.,A232, 1997, A232, 41-48.

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