Study on Heterodyne Stochastic Resonance System for Weak Signal Detection

Article Preview

Abstract:

The method based on stochastic resonance is a newly developed signal processing technology. Different from other methods by restraining the noise, it takes full advantage of the noises to strengthen the weak signal to improve SNR of the system. Based on stochastic resonance theory, a heterodyne system is presented in the paper to detect the frequency of the weak periodic signal. The simulation results manifest that the method is effective and the system parameters have extensive influence for frequency measurement. The parameters of the system are investigated for optimizing system design and weak signal detection.

You might also be interested in these eBooks

Info:

Periodical:

Pages:

341-345

Citation:

Online since:

August 2011

Export:

Price:

Permissions CCC:

Permissions PLS:

Сopyright:

© 2011 Trans Tech Publications Ltd. All Rights Reserved

Share:

Citation:

[1] M. Chen, N.Q. Hu, G.J. Qin, M.C. An : Application of Parameter-tuning Stochastic Resonance for Detecting Early Mechanical Faults. Journal of Mechanical Engineering, (2009), pp.131-135.

DOI: 10.3901/jme.2009.04.131

Google Scholar

[2] G.Q. Zhu, K. Ding, Y. Zhang, Y. Zhao: Experimental research of weak signal detection based on the stochastic resonance of nonlinear system, Acta Phys. Sin. (2010).

Google Scholar

[3] X.L. Yang, B. Jiang, W.L. Wu, Q.Y. Tong: The Self-adaptive Random Resonance Technology in Small Signal Detection. Process Automation Instrumentation, 25(2004), pp.8-10.

Google Scholar

[4] W.L. Zhao, F. Tian, L.D. Shao: Application of adaptive stochastic resonance technology in weak signal detection. Acta Metrologica Sinica, 41(2007), pp.21-25.

Google Scholar

[5] Y.G. Leng, T.Y. Wang, Y. Guo, Z.Y. Wu: Study of the property of the parameters of bistable stochastic resonance, Acta Phys. Sin. (2007), 56(1), pp.30-35.

Google Scholar

[6] L. Gammaitoni , P. Hanggi: Stochastic Reso-nance. Rev. Mod. Phys, 70(1998), pp.223-246.

Google Scholar