中文说明：
阵列分析和数据处理的一个典型问题是从混合的观测数据向量中恢复不可观测的各个源信号。盲信号分离是解决这个问题的一门新技术，近几年吸引了信号处理学界和神经网络学界众多学者的研究兴趣。本文对一个典型的盲信号分离问题进行了仿真实验，并研究了采用不同的自适应步长带来的影响。
English Description：
A typical problem in array analysis and data processing is to recover unobservable source signals from mixed observation data vectors. Blind signal separation (BSS) is a new technology to solve this problem. In recent years, it has attracted the research interest of many scholars in the field of signal processing and neural network. In this paper, a typical blind signal separation problem is simulated, and the influence of different adaptive step size is studied.