A Noise Cleaning Method for Chaotic Time Series and Its Application in Communication
FENG Jiu-Chao
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641
Faculty of Electronic and Information Engineering, Southwest China Normal University, Chongqing 400715
A Noise Cleaning Method for Chaotic Time Series and Its Application in Communication
FENG Jiu-Chao
School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641
Faculty of Electronic and Information Engineering, Southwest China Normal University, Chongqing 400715
Abstract： A new algorithm for filtering highly noisy contaminated chaotic time series is proposed and realized. It is indicated by computer simulation that this algorithm can effectively reduce noise on chaotic signal no mater how parameter of chaos generator varies with time. In comparison with the extended-Kalman-filter-based method, this algorithm has a better filtering performance in the case of low signal-to-noise (SNR) ratios, and has the similar performance in the case of high SNR. In addition, a chaotic modulation communication system is also used to evaluate the performance of the algorithm, the result shows the effectiveness of the method.
FENG Jiu-Chao. A Noise Cleaning Method for Chaotic Time Series and Its Application in Communication[J]. 中国物理快报, 2005, 22(8): 1851-1854.
FENG Jiu-Chao. A Noise Cleaning Method for Chaotic Time Series and Its Application in Communication. Chin. Phys. Lett., 2005, 22(8): 1851-1854.
2005, Vol. 22 
