LI Guangming, LYU Shanxiang. Extracting Chaotic Signal from Noisy Environment: A Random Searching Method[J]. Chinese Journal of Electronics, 2015, 24(3): 584-589. doi: 10.1049/cje.2015.07.025
Citation: LI Guangming, LYU Shanxiang. Extracting Chaotic Signal from Noisy Environment: A Random Searching Method[J]. Chinese Journal of Electronics, 2015, 24(3): 584-589. doi: 10.1049/cje.2015.07.025

Extracting Chaotic Signal from Noisy Environment: A Random Searching Method

doi: 10.1049/cje.2015.07.025
Funds:  This work is supported by the National Natural Science Foundation of China (No.61170216, No.61372082).
  • Received Date: 2014-08-12
  • Rev Recd Date: 2014-10-15
  • Publish Date: 2015-07-10
  • The problem of Blind source extraction (BSE) regarding a chaotic signal is addressed in this paper, by employing the newly defined Proliferation exponent (PE). The properties of gradient pursuit algorithm based on PE are further articulated, especially the infelicity to tackle a BSE problem. Subsequently, we devise a constraint optimization algorithm called Orthogonal random searching (ORS) to accomplish the optimization task, which in essence searches for optimal solutions with the principle of Markov chain Monte Carlo (MCMC). Experimental results reveal that this PE-based random searching method can extract the desired chaotic signal among multiple Gaussian mixtures, as well as showing robustness against noise contamination.
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