关键词: 盲源分离, 时变系统, 混合矩阵, 独立的等变化自适应算法（EASI）, 在线检测

Abstract: Aiming at the contradiction between the convergence rate and the steady-state error of the traditional EASI algorithm, this paper presents a New Adaptive EASI algorithm based on the expectation of estimate function. In order to make the new algorithm be able to solve the BSS problems under different conditions of time-varying system better and improve the accuracy of separated signals, it sets up an on-line detection mechanism of the changes in mixing matrix and adds it to the New Adaptive EASI algorithm to modify the algorithm. Simulation results show that the modified New Adaptive EASI algorithm can improve the quality of separated signals in the initial stage of separation or just after the channel condition changes, do the on-line separation of nonzero mean mixed signals and accurately estimate the number of source signals online to solve the BSS problem under the condition that the number of the source signals varies during the separating process.

Key words: Blind Source Separation（BSS）, time-varying system, mixing matrix, Equivariant Adaptive Separation via Independent（EASI） algorithm, on-line detection