多个混合混沌信号的分离,在混沌及其应用中是一个重要的问题.提出了一种线性混合的混沌信号的瞬时盲分离方法,它利用了各个混沌信号源之间的互不相关性,在未知混合矩阵和混沌方程的情况下,通过求解特征向量的方法从观测量中直接估计出解混合矩阵,以重构出源混沌信号.仿真结果表明,即使在低信噪比情况下,该方法仍可以有效地从噪声背景中分离出多个混合的混沌信号. The separation of multiple mixed chaotic signals is an important issue in chaos and its applications. A method of instantaneous blind separation of linear mixed chaotic signals is proposed, which takes advantage of the uncorrelatedness of each chaotic signal source, In the case of unknown mixture matrix and chaos equations, the disordered mixing matrix is ​​directly estimated from the observed data by solving the eigenvector to reconstruct the chaotic signal.The simulation results show that, even at low signal-to-noise ratio, The method can still effectively separate multiple mixed chaotic signals from the noisy background.