Blind Signals Separation of α Stable Distribution Based on Differential Evolution

In this paper,the statistic characteristic of stable distribution is investigated and a new algorithm is proposed for blind signals separation(BSS) of signals or noise with α stable distribution.By using differential evolution,the proposed algorithm finds the global optimal solution of objective function and obtains the separating matrix so that the signals are separated successfully.Simulation results indicate that the proposed method has better performance for the separate of signals or noise with α stable distribution.