Enhancement of detectability of noisy signals by stochastic resonance in arrays

Zonghua Liu, Ying-Cheng Lai, Arje Nachman

Research output: Contribution to journalArticlepeer-review

14 Scopus citations


We propose a scheme to detect signals immersed in strong, externally imposed, undesirable noise (jamming) by making use of the principle of stochastic resonance. The strategy is to construct an array of simple nonlinear oscillators and to apply independent, modulating noise to each oscillator. We show that the collective effect of all oscillators and the interplay between nonlinearity and different noise sources can enhance the detectability of the original signal. For proof of principle we focus on periodic signals mixed with in-band, Gaussian jamming. In particular, we show by both extensive numerical computations and physical arguments that measures of the detectability such as the signal-to-noise ratio can be increased in our scheme. We suggest how the scheme can be implemented in laboratory experiments.

Original languageEnglish (US)
Pages (from-to)1655-1670
Number of pages16
JournalInternational Journal of Bifurcation and Chaos in Applied Sciences and Engineering
Issue number5
StatePublished - May 2004


  • Noise reduction
  • Nonlinear oscillators
  • Stochastic resonance

ASJC Scopus subject areas

  • Modeling and Simulation
  • Engineering (miscellaneous)
  • General
  • Applied Mathematics


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