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Partially blind extraction of continuous chaotic signals from a linear mixture

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Journal of Electronics (China)

Abstract

In this paper, we address the problem of blind extraction and separation of a continuous chaotic signal from a linear mixture consisting of some chaotic signal and/or random signals. The problem of blind extraction is firstly formulated as a problem of the synchronization-based parameter estimation. Then an efficient least square based parameter estimation method is introduced to determine the desired extracting vector. The proposed blind signal extraction scheme is applicable to blind separation of chaotic signals by formulating the separation problem as the extraction of each chaotic source. Numerical simulation shows that the proposed approach can blindly extract and separate the desired chaotic signals and it is also robust to measurement noise.

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Authors and Affiliations

  1. College of Information Science & Technology, University of Aeronautics & Astronautics, Nanjing, 210016, China

    Wen Hu & Gong Zhang

  2. Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China

    Zhong Liu, Chunbiao Li & Dechun Wang

  3. Jiangsu Institute of Economic & Trade Technology, Nanjing, 210007, China

    Chunbiao Li

  4. Nanjing Research Institute of Electronics Technology, Nanjing, 210013, China

    Dechun Wang

Authors
  1. Wen Hu
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  2. Zhong Liu
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  3. Chunbiao Li
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  4. Dechun Wang
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  5. Gong Zhang
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Corresponding author

Correspondence to Zhong Liu.

Additional information

Supported by the National Natural Science Foundation of China (No.60472059) and the Aeronautical Science Foundation of China (2008ZC 52026).

Communication author: Liu Zhong, born in 1963, male, Ph.D., Professor.

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Cite this article

Hu, W., Liu, Z., Li, C. et al. Partially blind extraction of continuous chaotic signals from a linear mixture. J. Electron.(China) 26, 600–607 (2009). https://doi.org/10.1007/s11767-007-0212-z

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  • DOI: https://doi.org/10.1007/s11767-007-0212-z

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