Blind Separation of Single-channel Chaotic Signals in the presence of Noise
The problem of blind separation of single-channel chaotic signals is considered in the presence of noise. When only one signal that is a combination of several unknown chaotic signals is acquired, the composite chaotic signals and unknown parameters are considered as a high dimension state. Based on the principle of Bayes theory, blind separation of chaotic signals is achieved by estimating the join posterior probability density of this state. Adaptive iteration algorithm is used to estimate the noise and the Kernel Smoothing method is adopted to iteratively estimate the fixed parameters. The simulation results show that the proposed method can solve the blind separation of the single-channel chaotic signals with noise effectively.
Particle Filtering chaotic signal Kernel Smoothing
Kai Liu Hui Li Xuchu Dai
Department of Electronic Engineering and Information Science, University of Science and Technology of China, Hefei, Anhui, 230027, P. R. China
国际会议
第四届亚太地区混沌控制与同步会议(The Fourth Asia-Pacific Workshop on Chaos Control and Synchronization)
哈尔滨
英文
188-192
2007-08-24（万方平台首次上网日期，不代表论文的发表时间）