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Erschienen in:
2015 | OriginalPaper | Buchkapitel
82. Detection of High-Frequency Signals Based on Stochastic Resonance and Ensemble Average
verfasst von : Yao Sun, Chenglin Zhao, Xiao Peng
Erschienen in: The Proceedings of the Third International Conference on Communications, Signal Processing, and Systems
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Abstract
The traditional signal detection methods mainly focus on suppressing noise to extract the weak signal. However, stochastic resonance (SR) can enhance the signal component by converting energy from the noise to the signal. Base on the theory of SR, a novel approach to detect weak signal with a short data record is proposed. Ensemble average and cross-correlation operation are applied in this method to improve detection performance. In order to settle the limitation of stochastic resonance to detect large parameters signal, scale transformation stochastic resonance (STSR) is presented. The result of simulation proves the effectiveness of this designed method.