基于Logistic混沌序列的自适应信号分离

Adaptive Signal Separation Based on Logistic Chaos Series

首先分析了Logistic混沌系统的统计特性,利用其产生的信号遍历统计特性类同于白噪声序列的特性,将它应用在自适应信号分离技术中,最后给出了不同步长下基于Logistic混沌序列的自适应滤波结果,并与高斯噪声信号条件下的信号分离结果进行了比较。

This paper firstly analyzes the statistic characteristic of Logistic chaos system, applies it to adaptive signal separation technology by means of its signal overall statistic characteristic similar to the characteristic of white noise sequences, finally gives out the adaptive filtering result based on Logistic chaos sequence in different step, and compares it with the signal separate result of Gauss noise signal.