The Method of Feature Extraction of Weak Multi-Frequency Signals Based on the Array of Modulated Stochastic Resonance

Abstract:

The principle and implementation steps of the method of feature extraction of weak multi-frequency signal based on the array of modulated stochastic resonance under the background of strong noise are described in the paper. By the modulation of the known multi-frequency weak signals under the strong noise background and the carrieres with different frequency respectively; multiple signals with the same frequency of 0.01Hz were generated. Then these generated signals were as the input signals of multiple parallel non-coupled resonant units. The Runge-Kutta algorithm was used to obtain the unit outputs and to analysis the frequency spectrum. According to the SNR of the 0.01Hz to determine whether the 0.01Hz frequency components were contained in the frequency spectrum. Finally the frequency characteristic vectors of the weak signals were generated by the systemization of the detection results of the stochastic resonance units.Results show that this method has obvious effect in the extraction of the feature of the weak multi-frequencies signals, and has a very good application prospect.

• Periodical: Advanced Materials Research (Volumes 605-607)
• Pages: 2164-2170
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.605-607.2164
• Online since: December 2012
• Authors: Shui Lin Tu, Zhen Yi Wu, Zheng Yang Wu
• Keywords: Array, Feature Extraction, Modulated Stochastic Resonance, Weak Signal

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