提出了一种新的自适应盲源分离算法。在无噪音实时两源两传感器的情况下, 一旦观

测信号被白化, 只需要辨识一个特定的旋转矩阵就可以完成盲源分离, 并给出了能表征该旋转矩阵的角的自适应估计器。仿真结果表明, 当满足源峭度和不为零的条件时, 这种方法是一种稳定的和有效的分离算法。-proposes a new adaptive algorithm for blind source separation. In the absence of real-time two noise sources two sensor case, once observed signal was albino, only need to identify a specific rotation matrix can be completed blind source separation, given to the characterization of the angle of rotation matrix adaptive estimation. Simulation results show that when the source met in front of zero degrees and the conditions, this method is a stable and effective separation algorithm.