Blind Separation of Mixing Chaotic Signals Based on ICA Using Kurtosis

There are some methods that separate the mixing chaotic signals, but they have to use the internal properties of signals and special constraints. By exploiting the independence of sources in the mixing chaotic signals, the fixed-point ICA based on the kurtosis to separate the mixtures is used. It is accordance with the ICA (Independent Component Analysis) estimation principle of maximum nongaussianity. The results by computer simulation indicate that the mixed chaotic signals, by using the method, can be separated and get the sources signals fast and effectively.